Academic literature on the topic 'SOM(self organization map)'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'SOM(self organization map).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "SOM(self organization map)"

1

Arokiyamary Delphina, A., M. Kamarasan, and S. Sathiamoorthy. "Self-Organization Map Based Segmentation of Breast Cancer." Asian Journal of Engineering and Applied Technology 7, no. 2 (2018): 31–36. http://dx.doi.org/10.51983/ajeat-2018.7.2.1015.

Full text
Abstract:
Breast cancer is second major leading cause of cancer fatality in women. Mammography prevails best method for initial detection of cancers of breast, capable of identifying small pieces up to two years before they grow large enough to be evident on physical testing. X-ray images of breast must be accurately evaluated to identify beginning signs of cancerous growth. Segmenting, or partitioning, Radio-graphic images into regions of similar texture is usually performed during method of image analysis and interpretation. The comparative lack of structure definition in mammographic images and implied transition from one texture to makes segmentation remarkably hard. The task of analyzing different texture areas can be considered form of exploratory report since priori awareness about number of different regions in image is not known. This paper presents a segmentation method by utilizing SOM.
APA, Harvard, Vancouver, ISO, and other styles
2

Tiňo, Peter, Igor Farkaš, and Jort van Mourik. "Dynamics and Topographic Organization of Recursive Self-Organizing Maps." Neural Computation 18, no. 10 (2006): 2529–67. http://dx.doi.org/10.1162/neco.2006.18.10.2529.

Full text
Abstract:
Recently there has been an outburst of interest in extending topographic maps of vectorial data to more general data structures, such as sequences or trees. However, there is no general consensus as to how best to process sequences using topographic maps, and this topic remains an active focus of neurocomputational research. The representational capabilities and internal representations of the models are not well understood. Here, we rigorously analyze a generalization of the self-organizing map (SOM) for processing sequential data, recursive SOM(RecSOM) (Voegtlin, 2002), as a nonautonomous dynamical system consisting of a set of fixed input maps. We argue that contractive fixed-input maps are likely to produce Markovian organizations of receptive fields on the RecSOM map. We derive bounds on parameter β (weighting the importance of importing past information when processing sequences) under which contractiveness of the fixed-input maps is guaranteed. Some generalizations of SOM contain a dynamic module responsible for processing temporal contexts as an integral part of the model. We show that Markovian topographic maps of sequential data can be produced using a simple fixed (nonadaptable) dynamic module externally feeding a standard topographic model designed to process static vectorial data of fixed dimensionality (e.g., SOM). However, by allowing trainable feedback connections, one can obtain Markovian maps with superior memory depth and topography preservation. We elaborate on the importance of non-Markovian organizations in topographic maps of sequential data.
APA, Harvard, Vancouver, ISO, and other styles
3

Khalifa, Khaled Ben, Ahmed Ghazi Blaiech, Mehdi Abadi, and Mohamed Hedi Bedoui. "New Hardware Architecture for Self-Organizing Map Used for Color Vector Quantization." Journal of Circuits, Systems and Computers 29, no. 01 (2019): 2050002. http://dx.doi.org/10.1142/s0218126620500024.

Full text
Abstract:
In this paper, we present a new generic architectural approach of a Self-Organizing Map (SOM). The proposed architecture, called the Diagonal-SOM (D-SOM), is described as an Hardware–Description-Language as an intellectual property kernel with easily adjustable parameters.The D-SOM architecture is based on a generic formalism that exploits two levels of the nested parallelism of neurons and connections. This solution is therefore considered as a system based on the cooperation of a distributed set of independent computations. The organization and structure of these calculations process an oriented data flow in order to find a better treatment distribution between different neuroprocessors. To validate the D-SOM architecture, we evaluate the performance of several SOM network architectures after their integration on a Xilinx Virtex-7 Field Programmable Gate Array support. The proposed solution allows the easy adaptation of learning to a large number of SOM topologies without any considerable design effort. [Formula: see text] SOM hardware is validated through FPGA implementation, where temporal performance is almost twice as fast as that obtained in the recent literature. The suggested D-SOM architecture is also validated through simulation on variable-sized SOM networks applied to color vector quantization.
APA, Harvard, Vancouver, ISO, and other styles
4

Furukawa, Masashi, Michiko Watanabe, and Yusuke Matsumura. "Local Clustering Organization (LCO) Solving a Large-Scale TSP." Journal of Robotics and Mechatronics 17, no. 5 (2005): 560–67. http://dx.doi.org/10.20965/jrm.2005.p0560.

Full text
Abstract:
The traveling salesman problem (TSP) is one of the most difficult problems that occur in different types of industrial scheduling situations. We propose a solution, involving local clustering organization (LCO), for a large-scale TSP based on the principle of the self-organizing map (SOM). Although the SOM can solve TSPs, it is not applicable to practical TSPs because the SOM references city coordinates and assigns synapses to coordinates. LCO indirectly uses the SOM principle and, instead of city coordinates, references costs between two cities, to determine the sequence of cities. We apply LCO to a large-scale TSP to determine its efficiency in numerical experiments. Results demonstrate that LCO obtains the desired solutions.
APA, Harvard, Vancouver, ISO, and other styles
5

Wiemer, Jan C. "The Time-Organized Map Algorithm: Extending the Self-Organizing Map to Spatiotemporal Signals." Neural Computation 15, no. 5 (2003): 1143–71. http://dx.doi.org/10.1162/089976603765202695.

Full text
Abstract:
The new time-organized map (TOM) is presented for a better understanding of the self-organization and geometric structure of cortical signal representations. The algorithm extends the common self-organizing map (SOM) from the processing of purely spatial signals to the processing of spatiotemporal signals. The main additional idea of the TOM compared with the SOM is the functionally reasonable transfer of temporal signal distances into spatial signal distances in topographic neural representations. This is achieved by neural dynamics of propagating waves, allowing current and former signals to interact spatiotemporally in the neural network. Within a biologically plausible framework, the TOM algorithm (1) reveals how dynamic neural networks can self-organize to embed spatial signals in temporal context in order to realize functional meaningful invariances, (2) predicts time-organized representational structures in cortical areas representing signals with systematic temporal relation, and (3) suggests that the strength with which signals interact in the cortex determines the type of signal topology realized in topographic maps (e.g., spatially or temporally defined signal topology). Moreover, the TOM algorithm supports the explanation of topographic reorganizations based on time-to-space transformations (Wiemer, Spengler, Joublin, Stagge, & Wacquant, 2000).
APA, Harvard, Vancouver, ISO, and other styles
6

Mulier, Filip, and Vladimir Cherkassky. "Self-Organization as an Iterative Kernel Smoothing Process." Neural Computation 7, no. 6 (1995): 1165–77. http://dx.doi.org/10.1162/neco.1995.7.6.1165.

Full text
Abstract:
Kohonen's self-organizing map, when described in a batch processing mode, can be interpreted as a statistical kernel smoothing problem. The batch SOM algorithm consists of two steps. First, the training data are partitioned according to the Voronoi regions of the map unit locations. Second, the units are updated by taking weighted centroids of the data falling into the Voronoi regions, with the weighing function given by the neighborhood. Then, the neighborhood width is decreased and steps 1, 2 are repeated. The second step can be interpreted as a statistical kernel smoothing problem where the neighborhood function corresponds to the kernel and neighborhood width corresponds to kernel span. To determine the new unit locations, kernel smoothing is applied to the centroids of the Voronoi regions in the topological space. This interpretation leads to some new insights concerning the role of the neighborhood and dimensionality reduction. It also strengthens the algorithm's connection with the Principal Curve algorithm. A generalized self-organizing algorithm is proposed, where the kernel smoothing step is replaced with an arbitrary nonparametric regression method.
APA, Harvard, Vancouver, ISO, and other styles
7

Qu, Na, Jiatong Chen, Jiankai Zuo, and Jinhai Liu. "PSO–SOM Neural Network Algorithm for Series Arc Fault Detection." Advances in Mathematical Physics 2020 (January 25, 2020): 1–8. http://dx.doi.org/10.1155/2020/6721909.

Full text
Abstract:
Self-organizing feature map (SOM) neural network is a kind of competitive neural network with unsupervised learning. It has the strong abilities of self-organization and self-learning. However, the classification accuracy of SOM neural network may decrease when the features of tested object are not obvious. In this paper, the particle swarm optimization (PSO) algorithm is used to optimize the weight values of SOM network. Three indexes, i.e., intra-class density, standard deviation and sample difference, are used to judge the weight value, which can improve the classification accuracy of the SOM network. PSO–SOM network is applied to the detection of series arc fault in electrical circuits and compared with conventional SOM network and learning vector quantization (LVQ) network. The detection accuracy of the PSO–SOM network is 95%, which is higher than conventional SOM network and LVQ network.
APA, Harvard, Vancouver, ISO, and other styles
8

Tucci, Mauro, and Marco Raugi. "A Sequential Algorithm for Training the SOM Prototypes Based on Higher-Order Recursive Equations." Advances in Artificial Neural Systems 2010 (January 19, 2010): 1–10. http://dx.doi.org/10.1155/2010/142540.

Full text
Abstract:
A novel training algorithm is proposed for the formation of Self-Organizing Maps (SOM). In the proposed model, the weights are updated incrementally by using a higher-order difference equation, which implements a low-pass digital filter. It is possible to improve selected features of the self-organization process with respect to the basic SOM by suitably designing the filter. Moreover, from this model, new visualization tools can be derived for cluster visualization and for monitoring the quality of the map.
APA, Harvard, Vancouver, ISO, and other styles
9

Yen, Chia-Liang, Ming-Chyuan Lu, and Jau-Liang Chen. "Applying the self-organization feature map (SOM) algorithm to AE-based tool wear monitoring in micro-cutting." Mechanical Systems and Signal Processing 34, no. 1-2 (2013): 353–66. http://dx.doi.org/10.1016/j.ymssp.2012.05.001.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Pal, Chinmoy, Shigeru Hirayama, Sangolla Narahari, Manoharan Jeyabharath, Gopinath Prakash, and Vimalathithan Kulothungan. "An insight of World Health Organization (WHO) accident database by cluster analysis with self-organizing map (SOM)." Traffic Injury Prevention 19, sup1 (2018): S15—S20. http://dx.doi.org/10.1080/15389588.2017.1370089.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "SOM(self organization map)"

1

Pimenta, Mayra Mercedes Zegarra. "Self-organization map in complex network." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30102018-111955/.

Full text
Abstract:
The Self-Organization Map (SOM) is an artificial neural network that was proposed as a tool for exploratory analysis in large dimensionality data sets, being used efficiently for data mining. One of the main topics of research in this area is related to data clustering applications. Several algorithms have been developed to perform clustering in data sets. However, the accuracy of these algorithms is data depending. This thesis is mainly dedicated to the investigation of the SOM from two different approaches: (i) data mining and (ii) complex networks. From the data mining point of view, we analyzed how the performance of the algorithm is related to the distribution of data properties. It was verified the accuracy of the algorithm based on the configuration of the parameters. Likewise, this thesis shows a comparative analysis between the SOM network and other clustering methods. The results revealed that in random configuration of parameters the SOM algorithm tends to improve its acuracy when the number of classes is small. It was also observed that when considering the default configurations of the adopted methods, the spectral approach usually outperformed the other clustering algorithms. Regarding the complex networks approach, we observed that the network structure has a fundamental influence of the algorithm accuracy. We evaluated the cases at short and middle learning time scales and three different datasets. Furthermore, we show how different topologies also affect the self-organization of the topographic map of SOM network. The self-organization of the network was studied through the partitioning of the map in groups or communities. It was used four topological measures to quantify the structure of the groups such as: modularity, number of elements per group, number of groups per map, size of the largest group in three network models. In small-world (SW) networks, the groups become denser as time increases. An opposite behavior is found in the assortative networks. Finally, we verified that if some perturbation is included in the system, like a rewiring in a SW network and the deactivation model, the system cannot be organized again. Our results enable a better understanding of SOM in terms of parameters and network structure.<br>Um Mapa Auto-organizativo (da sigla SOM, Self-organized map, em inglês) é uma rede neural artificial que foi proposta como uma ferramenta para análise exploratória em conjuntos de dados de grande dimensionalidade, sendo utilizada de forma eficiente na mineração de dados. Um dos principais tópicos de pesquisa nesta área está relacionado com as aplicações de agrupamento de dados. Vários algoritmos foram desenvolvidos para realizar agrupamento de dados, tendo cada um destes algoritmos uma acurácia específica para determinados tipos de dados. Esta tese tem por objetivo principal analisar a rede SOM a partir de duas abordagens diferentes: mineração de dados e redes complexas. Pela abordagem de mineração de dados, analisou-se como o desempenho do algoritmo está relacionado à distribuição ou características dos dados. Verificou-se a acurácia do algoritmo com base na configuração dos parâmetros. Da mesma forma, esta tese mostra uma análise comparativa entre a rede SOM e outros métodos de agrupamento. Os resultados revelaram que o uso de valores aleatórios nos parâmetros de configuração do algoritmo SOM tende a melhorar sua acurácia quando o número de classes é baixo. Observou-se também que, ao considerar as configurações padrão dos métodos adotados, a abordagem espectral usualmente superou os demais algoritmos de agrupamento. Pela abordagem de redes complexas, esta tese mostra que, se considerarmos outro tipo de topologia de rede, além do modelo regular geralmente utilizado, haverá um impacto na acurácia da rede. Esta tese mostra que o impacto na acurácia é geralmente observado em escalas de tempo de aprendizado curto e médio. Esse comportamento foi observado usando três conjuntos de dados diferentes. Além disso, esta tese mostra como diferentes topologias também afetam a auto-organização do mapa topográfico da rede SOM. A auto-organização da rede foi estudada por meio do particionamento do mapa em grupos ou comunidades. Foram utilizadas quatro medidas topológicas para quantificar a estrutura dos grupos em três modelos distintos de rede: modularidade, número de elementos por grupo, número de grupos por mapa, tamanho do maior grupo. Em redes de pequeno mundo, os grupos se tornam mais densos à medida que o tempo aumenta. Um comportamento oposto a isso é encontrado nas redes assortativas. Apesar da modularidade, tem um alto valor em ambos os casos.
APA, Harvard, Vancouver, ISO, and other styles
2

Sedláček, Josef. "Algoritmy pro shlukování textových dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218899.

Full text
Abstract:
The thesis deals with text mining. It describes the theory of text document clustering as well as algorithms used for clustering. This theory serves as a basis for developing an application for clustering text data. The application is developed in Java programming language and contains three methods used for clustering. The user can choose which method will be used for clustering the collection of documents. The implemented methods are K medoids, BiSec K medoids, and SOM (self-organization maps). The application also includes a validation set, which was specially created for the diploma thesis and it is used for testing the algorithms. Finally, the algorithms are compared according to obtained results.
APA, Harvard, Vancouver, ISO, and other styles
3

Han, Yu. "Intelligent partial discharge diagnosis using SOM for turbogenerator condition monitoring." Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249950.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Malondkar, Ameya Mohan. "Extending the Growing Hierarchical Self Organizing Maps for a Large Mixed-Attribute Dataset Using Spark MapReduce." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33385.

Full text
Abstract:
In this thesis work, we propose a Map-Reduce variant of the Growing Hierarchical Self Organizing Map (GHSOM) called MR-GHSOM, which is capable of handling mixed attribute datasets of massive size. The Self Organizing Map (SOM) has proved to be a useful unsupervised data analysis algorithm. It projects a high dimensional data onto a lower dimensional grid of neurons. However, the SOM has some limitations owing to its static structure and the incapability to mirror the hierarchical relations in the data. The GHSOM overcomes these shortcomings of the SOM by providing a dynamic structure that adapts its shape according to the input data. It is capable of growing dynamically in terms of the size of the individual neuron layers to represent data at the desired granularity as well as in depth to model the hierarchical relations in the data. However, the training of the GHSOM requires multiple passes over an input dataset. This makes it difficult to use the GHSOM for massive datasets. In this thesis work, we propose a Map-Reduce variant of the GHSOM called MR-GHSOM, which is capable of processing massive datasets. The MR-GHSOM is implemented using the Apache Spark cluster computing engine and leverages the popular Map-Reduce programming model. This enables us to exploit the usefulness and dynamic capabilities of the GHSOM even for a large dataset. Moreover, the conventional GHSOM algorithm can handle datasets with numeric attributes only. This is owing to the fact that it relies heavily on the Euclidean space dissimilarity measures of the attribute vectors. The MR-GHSOM further extends the GHSOM to handle mixed attribute - numeric and categorical - datasets. It accomplishes this by adopting the distance hierarchy approach of managing mixed attribute datasets. The proposed MR-GHSOM is thus capable of handling massive datasets containing mixed attributes. To demonstrate the effectiveness of the MR-GHSOM in terms of clustering of mixed attribute datasets, we present the results produced by the MR-GHSOM on some popular datasets. We further train our MR-GHSOM on a Census dataset containing mixed attributes and provide an analysis of the results.
APA, Harvard, Vancouver, ISO, and other styles
5

Aksoy, Ece. "An Attempt To Classify Turkish District Data: K-means And Self-organizing Map (som) Algorithms." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605711/index.pdf.

Full text
Abstract:
ABSTRACT AN ATTEMPT TO CLASSIFY TURKISH DISTRICT DATA: K-MEANS AND SELF-ORGANIZING MAP (SOM) ALGORITHMS Aksoy, Ece M.S., Department of Geodetic and Geographic Information Systems Supervisor: Assoc. Prof. Dr. Oguz ISik December 2004, 112 pages There is no universally applicable clustering technique in discovering the variety of structures display in data sets. Also, a single algorithm or approach is not adequate to solve every clustering problem. There are many methods available, the criteria used differ and hence different classifications may be obtained for the same data. While larger and larger amounts of data are collected and stored in databases, there is increasing the need for efficient and effective analysis methods. Grouping or classification of measurements is the key element in these data analysis procedures. There are lots of non-spatial clustering techniques in various areas. However, spatial clustering techniques and software are not so common. This thesis is an attempt to classify Turkish district data with the help of two clustering algorithms: K-means clustering and self organizing maps (SOM). With the help of these two common techniques it is expected that a clustering can be reached, which can be used for different aims such as regional politics, constructing statistical integrity or analyzing distribution of funds, for same data in GIS environment and putting forward the facilitative usage of GIS in regional and statistical studies. All districts of Turkey, which is 923 units, were chosen as an application area in this thesis. Some limitations such as population were specified for clustering of Turkey&rsquo<br>s districts. Firstly, different clustering techniques for spatial classification were researched. K-Means and SOM algorithms were chosen to compare different methods with Turkey&rsquo<br>s district data. Afterward, database of Turkey&rsquo<br>s statistical datum was formed and analyzed joining with geographical data in the GIS environment. Different clustering software, ArcGIS, CrimeStat and Matlab, were applied according to conclusion of clustering techniques research. Self Organizing Maps (SOM) algorithm, which is the best and most common spatial clustering algorithm in recent years, and CrimeStat K-Means clustering were used in this thesis as clustering methods.
APA, Harvard, Vancouver, ISO, and other styles
6

Thampi, Geetha K. "Identification and control of nonlinear systems using multiple models based on the self-organizing map (SOM)." [Gainesville, Fla.]: University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0000804.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Stefanovič, Pavel. "Saviorganizuojančių neuroninių tinklų (SOM) sistemų lyginamoji analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100709_133927-01419.

Full text
Abstract:
Šiame darbe pateikti ir aprašyti biologinio ir dirbtinio neurono modeliai. Didžiausias dėmesys skiriamas vieno tipo neuroniniams tinklams – saviorganizuojantiems žemėlapiams (SOM). Darbe pateiktas jų apmokymas, taip pat pagrindinių sąvokų (epocha, kaimynystės eilė, unifikuotų atstumų matrica ir kt.), susijusių su SOM neuroniniais tinklais (žemėlapiais), apibrėžimai. Buvo nagrinėtos keturios saviorganizuojančių neuroninių tinklų sistemos: NeNet, SOM-Toolbox, DataBionic ESOM, Viscovery SOMine ir Matlab įrankiai „nntool“, „nctool“, kurie naudojami SOM tinklams sukurti ir apmokyti. Pateikiamos sistemų naudojimosi instrukcijos, norint gauti paprasčiausią SOM žemėlapį. Matlab aplinkoje sukurta ir darbe aprašyta naują vizualizavimo būdą turinti sistema „Somas“, pateiktas jos išskirtinumas ir naudojimosi instrukcija. Sistemoje „Somas“ realizuota kita mokymo funkcija nei kitose minėtose sistemose. Pagrindinis analizuotų sistemų tikslas yra suskirstyti duomenis į klasterius pagal jų panašumą ir pateikti juos SOM žemėlapyje. Sistemos viena nuo kitos skiriasi duomenų pateikimu, mokymo taisyklėmis, vizualizavimo galimybėmis, todėl čia aptariami sistemų panašumai ir skirtumai. Nagrinėti susidarę SOM žemėlapiai ir gautos kvantavimo bei topografinės paklaidos, analizuojant tris duomenų aibes: irisų, stiklo ir vyno. Kvantavimo ir topografinės paklaidos yra kiekybiniai vaizdo kokybės įverčiai. Padarytos išvados apie susidariusius klasterius tiriamuose duomenyse. Naudojant naują sistemą „Somas“... [toliau žr. visą tekstą]<br>In this master thesis, biologic and artificial neuron models have been described. The focus is selforganizing maps (SOM). The self-organizing maps are one of types of artificial neural networks. SOM training as well as the main concepts which need to explain SOM networks (epochs, neighbourhood size, u-matrix and etc.) have been described. Four systems of self-organizing maps: NeNet, SOMToolbox, DataBionic ESOM, Viscovery SOMine, and Matlab tools “nntool” and “nctool” have been analyzed. In the thesis, a system use guide has been presented to make a simple SOM map. A new system “Somas” that has a new visualisation way has been developed in Matlab. The system has been described, its oneness has been emphasized, and a use guide is presented. The main target of the SOM systems is data clustering and their graphical presentation on the self-organizing map. The SOM systems are different one from other in their interfaces, the data pre-processing, learning rules, visualization manners, etc. Similarities and differences of the systems have been highlighted here. The experiments have been carried out with three data sets: iris, glass and wine. The SOM maps, obtained by each system, have been described and some conclusions on the clusters have been drawn. The quantization and topographic errors have been analyzed to estimate the quality of the maps obtained. An investigation has been carried out in the new system “Somas” and system “NeNet” in order to look how quantization and... [to full text]
APA, Harvard, Vancouver, ISO, and other styles
8

Štrimaitis, Rokas. "Saviorganizuojančio neuroninio tinklo (SOM) ir jo modifikacijos daugiamačiams duomenims vizualizuoti (ViSOM) lyginamoji analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100712_093304-05293.

Full text
Abstract:
Saviorganizuojantys neuroniniai tinklai (SOM) yra susilaukę nemažai populiarumo mokslininkų tarpe klasterizuojant ar vizualizuojant daugiamačius duomenis. Šiame magistro diplominiame darbe smulkiai išnagrinėtas SOM algoritmas bei veikimo principai, pateiktos galimos parametrų reikšmės ir kaimynystės funkcijos. Taip pat nurodyti tinklo kokybės įvertinimo kriterijai ir duomenų vizualizavimo metodai taikant saviorganizuojantį neuroninį tinklą. SOM pagrindinis tikslas yra duomenų klasterizavimas, o ne vizualizavimas, todėl duomenų vaizdavimas SOM'u turi savų trūkumų – žemėlapyje negalima matyti atstumų tarp klasės neuronų ir kaip toli nutolusios viena nuo kitos klasės. Pateikta alternatyva – SOM modifikacija ViSOM. Darbe išnagrinėti ViSOM algoritmo esminiai skirtumai, aprašyti parametrų parinkimo ypatumai. Nagrinėti SOM ir ViSOM vizualizavimo skirtumus sukurta MATLAB sistemoje programa, realizuojanti abu algoritmus bei pateiktas programos galimybių ir scenarijų aprašas. Pasirinkus tris kaimynines funkcijas su šia programa atlikti tyrimai, rodantys, kad kvantavimo ir topografinės paklaidos netinkamos vertinant ViSOM vaizdo kokybę. Pasiūlyti trys nauji vertinimo kriterijai, bei su jais atlikti tyrimai, parodantys jų veiksmingumą. Taip pat darbe vizualiai parodytas ir aprašytas ViSOM žemėlapio kitimas priklausomai nuo rezoliucijos.<br>A self-organizing map is a type of artificial neural networks that has received substantial popularity among scientists in regards to clustering and visualization of multidimensional data. In this master theses, the learning algorithm and the main principals are examined in detail, the neighbourhood functions and values of various parameters are given. Some criteria of the network evaluation quality and the data visualization methods using the self-organizing maps are given as well. The main goal of the SOM is clustering of data, but not the visualization, so the visual data representation by the SOM has its drawbacks – it is impossible to see the distances between neurons, corresponding the vectors belong to a class, and how far from each other the classes are in a map. The alternative – SOM modification, called ViSOM, has been developed. The main differences of SOM and ViSOM are investigated, the peculiarity of parameter selection is also examined in this work. In order to study the differences of SOM and ViSOM visualization, a system in MATLAB has been developed, both algorithms have been implemented, and the feature and scenario list of the program is presented. Some experiments have been carried out by selecting three neighborhood functions. The experiments have showed that the quantization and topographic errors are not suitable for studying the visualization of ViSOM. Three new evaluation criteria are proposed. The investigation shows their effectiveness. In the work... [to full text]
APA, Harvard, Vancouver, ISO, and other styles
9

Langin, Chester Louis. "A SOM+ Diagnostic System for Network Intrusion Detection." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/dissertations/389.

Full text
Abstract:
This research created a new theoretical Soft Computing (SC) hybridized network intrusion detection diagnostic system including complex hybridization of a 3D full color Self-Organizing Map (SOM), Artificial Immune System Danger Theory (AISDT), and a Fuzzy Inference System (FIS). This SOM+ diagnostic archetype includes newly defined intrusion types to facilitate diagnostic analysis, a descriptive computational model, and an Invisible Mobile Network Bridge (IMNB) to collect data, while maintaining compatibility with traditional packet analysis. This system is modular, multitaskable, scalable, intuitive, adaptable to quickly changing scenarios, and uses relatively few resources.
APA, Harvard, Vancouver, ISO, and other styles
10

Gharani, Pedram. "Modeling spatial accessibility for in-vitro fertility (IVF) care services in Iowa." Thesis, University of Iowa, 2014. https://ir.uiowa.edu/etd/1459.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "SOM(self organization map)"

1

Johansen, Bruce, and Adebowale Akande, eds. Nationalism: Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.

Full text
Abstract:
Nationalism: Past as Prologue began as a single volume being compiled by Ad Akande, a scholar from South Africa, who proposed it to me as co-author about two years ago. The original idea was to examine how the damaging roots of nationalism have been corroding political systems around the world, and creating dangerous obstacles for necessary international cooperation. Since I (Bruce E. Johansen) has written profusely about climate change (global warming, a.k.a. infrared forcing), I suggested a concerted effort in that direction. This is a worldwide existential threat that affects every living thing on Earth. It often compounds upon itself, so delays in reducing emissions of fossil fuels are shortening the amount of time remaining to eliminate the use of fossil fuels to preserve a livable planet. Nationalism often impedes solutions to this problem (among many others), as nations place their singular needs above the common good. Our initial proposal got around, and abstracts on many subjects arrived. Within a few weeks, we had enough good material for a 100,000-word book. The book then fattened to two moderate volumes and then to four two very hefty tomes. We tried several different titles as good submissions swelled. We also discovered that our best contributors were experts in their fields, which ranged the world. We settled on three stand-alone books:” 1/ nationalism and racial justice. Our first volume grew as the growth of Black Lives Matter following the brutal killing of George Floyd ignited protests over police brutality and other issues during 2020, following the police assassination of Floyd in Minneapolis. It is estimated that more people took part in protests of police brutality during the summer of 2020 than any other series of marches in United States history. This includes upheavals during the 1960s over racial issues and against the war in Southeast Asia (notably Vietnam). We choose a volume on racism because it is one of nationalism’s main motive forces. This volume provides a worldwide array of work on nationalism’s growth in various countries, usually by authors residing in them, or in the United States with ethnic ties to the nation being examined, often recent immigrants to the United States from them. Our roster of contributors comprises a small United Nations of insightful, well-written research and commentary from Indonesia, New Zealand, Australia, China, India, South Africa, France, Portugal, Estonia, Hungary, Russia, Poland, Kazakhstan, Georgia, and the United States. Volume 2 (this one) describes and analyzes nationalism, by country, around the world, except for the United States; and 3/material directly related to President Donald Trump, and the United States. The first volume is under consideration at the Texas A &amp; M University Press. The other two are under contract to Nova Science Publishers (which includes social sciences). These three volumes may be used individually or as a set. Environmental material is taken up in appropriate places in each of the three books. * * * * * What became the United States of America has been strongly nationalist since the English of present-day Massachusetts and Jamestown first hit North America’s eastern shores. The country propelled itself across North America with the self-serving ideology of “manifest destiny” for four centuries before Donald Trump came along. Anyone who believes that a Trumpian affection for deportation of “illegals” is a new thing ought to take a look at immigration and deportation statistics in Adam Goodman’s The Deportation Machine: America’s Long History of Deporting Immigrants (Princeton University Press, 2020). Between 1920 and 2018, the United States deported 56.3 million people, compared with 51.7 million who were granted legal immigration status during the same dates. Nearly nine of ten deportees were Mexican (Nolan, 2020, 83). This kind of nationalism, has become an assassin of democracy as well as an impediment to solving global problems. Paul Krugman wrote in the New York Times (2019:A-25): that “In their 2018 book, How Democracies Die, the political scientists Steven Levitsky and Daniel Ziblatt documented how this process has played out in many countries, from Vladimir Putin’s Russia, to Recep Erdogan’s Turkey, to Viktor Orban’s Hungary. Add to these India’s Narendra Modi, China’s Xi Jinping, and the United States’ Donald Trump, among others. Bit by bit, the guardrails of democracy have been torn down, as institutions meant to serve the public became tools of ruling parties and self-serving ideologies, weaponized to punish and intimidate opposition parties’ opponents. On paper, these countries are still democracies; in practice, they have become one-party regimes….And it’s happening here [the United States] as we speak. If you are not worried about the future of American democracy, you aren’t paying attention” (Krugmam, 2019, A-25). We are reminded continuously that the late Carl Sagan, one of our most insightful scientific public intellectuals, had an interesting theory about highly developed civilizations. Given the number of stars and planets that must exist in the vast reaches of the universe, he said, there must be other highly developed and organized forms of life. Distance may keep us from making physical contact, but Sagan said that another reason we may never be on speaking terms with another intelligent race is (judging from our own example) could be their penchant for destroying themselves in relatively short order after reaching technological complexity. This book’s chapters, introduction, and conclusion examine the worldwide rise of partisan nationalism and the damage it has wrought on the worldwide pursuit of solutions for issues requiring worldwide scope, such scientific co-operation public health and others, mixing analysis of both. We use both historical description and analysis. This analysis concludes with a description of why we must avoid the isolating nature of nationalism that isolates people and encourages separation if we are to deal with issues of world-wide concern, and to maintain a sustainable, survivable Earth, placing the dominant political movement of our time against the Earth’s existential crises. Our contributors, all experts in their fields, each have assumed responsibility for a country, or two if they are related. This work entwines themes of worldwide concern with the political growth of nationalism because leaders with such a worldview are disinclined to co-operate internationally at a time when nations must find ways to solve common problems, such as the climate crisis. Inability to cooperate at this stage may doom everyone, eventually, to an overheated, stormy future plagued by droughts and deluges portending shortages of food and other essential commodities, meanwhile destroying large coastal urban areas because of rising sea levels. Future historians may look back at our time and wonder why as well as how our world succumbed to isolating nationalism at a time when time was so short for cooperative intervention which is crucial for survival of a sustainable earth. Pride in language and culture is salubrious to individuals’ sense of history and identity. Excess nationalism that prevents international co-operation on harmful worldwide maladies is quite another. As Pope Francis has pointed out: For all of our connectivity due to expansion of social media, ability to communicate can breed contempt as well as mutual trust. “For all our hyper-connectivity,” said Francis, “We witnessed a fragmentation that made it more difficult to resolve problems that affect us all” (Horowitz, 2020, A-12). The pope’s encyclical, titled “Brothers All,” also said: “The forces of myopic, extremist, resentful, and aggressive nationalism are on the rise.” The pope’s document also advocates support for migrants, as well as resistance to nationalist and tribal populism. Francis broadened his critique to the role of market capitalism, as well as nationalism has failed the peoples of the world when they need co-operation and solidarity in the face of the world-wide corona virus pandemic. Humankind needs to unite into “a new sense of the human family [Fratelli Tutti, “Brothers All”], that rejects war at all costs” (Pope, 2020, 6-A). Our journey takes us first to Russia, with the able eye and honed expertise of Richard D. Anderson, Jr. who teaches as UCLA and publishes on the subject of his chapter: “Putin, Russian identity, and Russia’s conduct at home and abroad.” Readers should find Dr. Anderson’s analysis fascinating because Vladimir Putin, the singular leader of Russian foreign and domestic policy these days (and perhaps for the rest of his life, given how malleable Russia’s Constitution has become) may be a short man physically, but has high ambitions. One of these involves restoring the old Russian (and Soviet) empire, which would involve re-subjugating a number of nations that broke off as the old order dissolved about 30 years ago. President (shall we say czar?) Putin also has international ambitions, notably by destabilizing the United States, where election meddling has become a specialty. The sight of Putin and U.S. president Donald Trump, two very rich men (Putin $70-$200 billion; Trump $2.5 billion), nuzzling in friendship would probably set Thomas Jefferson and Vladimir Lenin spinning in their graves. The road of history can take some unanticipated twists and turns. Consider Poland, from which we have an expert native analysis in chapter 2, Bartosz Hlebowicz, who is a Polish anthropologist and journalist. His piece is titled “Lawless and Unjust: How to Quickly Make Your Own Country a Puppet State Run by a Group of Hoodlums – the Hopeless Case of Poland (2015–2020).” When I visited Poland to teach and lecture twice between 2006 and 2008, most people seemed to be walking on air induced by freedom to conduct their own affairs to an unusual degree for a state usually squeezed between nationalists in Germany and Russia. What did the Poles then do in a couple of decades? Read Hlebowicz’ chapter and decide. It certainly isn’t soft-bellied liberalism. In Chapter 3, with Bruce E. Johansen, we visit China’s western provinces, the lands of Tibet as well as the Uighurs and other Muslims in the Xinjiang region, who would most assuredly resent being characterized as being possessed by the Chinese of the Han to the east. As a student of Native American history, I had never before thought of the Tibetans and Uighurs as Native peoples struggling against the Independence-minded peoples of a land that is called an adjunct of China on most of our maps. The random act of sitting next to a young woman on an Air India flight out of Hyderabad, bound for New Delhi taught me that the Tibetans had something to share with the Lakota, the Iroquois, and hundreds of other Native American states and nations in North America. Active resistance to Chinese rule lasted into the mid-nineteenth century, and continues today in a subversive manner, even in song, as I learned in 2018 when I acted as a foreign adjudicator on a Ph.D. dissertation by a Tibetan student at the University of Madras (in what is now in a city called Chennai), in southwestern India on resistance in song during Tibet’s recent history. Tibet is one of very few places on Earth where a young dissident can get shot to death for singing a song that troubles China’s Quest for Lebensraum. The situation in Xinjiang region, where close to a million Muslims have been interned in “reeducation” camps surrounded with brick walls and barbed wire. They sing, too. Come with us and hear the music. Back to Europe now, in Chapter 4, to Portugal and Spain, we find a break in the general pattern of nationalism. Portugal has been more progressive governmentally than most. Spain varies from a liberal majority to military coups, a pattern which has been exported to Latin America. A situation such as this can make use of the term “populism” problematic, because general usage in our time usually ties the word into a right-wing connotative straightjacket. “Populism” can be used to describe progressive (left-wing) insurgencies as well. José Pinto, who is native to Portugal and also researches and writes in Spanish as well as English, in “Populism in Portugal and Spain: a Real Neighbourhood?” provides insight into these historical paradoxes. Hungary shares some historical inclinations with Poland (above). Both emerged from Soviet dominance in an air of developing freedom and multicultural diversity after the Berlin Wall fell and the Soviet Union collapsed. Then, gradually at first, right wing-forces began to tighten up, stripping structures supporting popular freedom, from the courts, mass media, and other institutions. In Chapter 5, Bernard Tamas, in “From Youth Movement to Right-Liberal Wing Authoritarianism: The Rise of Fidesz and the Decline of Hungarian Democracy” puts the renewed growth of political and social repression into a context of worldwide nationalism. Tamas, an associate professor of political science at Valdosta State University, has been a postdoctoral fellow at Harvard University and a Fulbright scholar at the Central European University in Budapest, Hungary. His books include From Dissident to Party Politics: The Struggle for Democracy in Post-Communist Hungary (2007). Bear in mind that not everyone shares Orbán’s vision of what will make this nation great, again. On graffiti-covered walls in Budapest, Runes (traditional Hungarian script) has been found that read “Orbán is a motherfucker” (Mikanowski, 2019, 58). Also in Europe, in Chapter 6, Professor Ronan Le Coadic, of the University of Rennes, Rennes, France, in “Is There a Revival of French Nationalism?” Stating this title in the form of a question is quite appropriate because France’s nationalistic shift has built and ebbed several times during the last few decades. For a time after 2000, it came close to assuming the role of a substantial minority, only to ebb after that. In 2017, the candidate of the National Front reached the second round of the French presidential election. This was the second time this nationalist party reached the second round of the presidential election in the history of the Fifth Republic. In 2002, however, Jean-Marie Le Pen had only obtained 17.79% of the votes, while fifteen years later his daughter, Marine Le Pen, almost doubled her father's record, reaching 33.90% of the votes cast. Moreover, in the 2019 European elections, re-named Rassemblement National obtained the largest number of votes of all French political formations and can therefore boast of being "the leading party in France.” The brutality of oppressive nationalism may be expressed in personal relationships, such as child abuse. While Indonesia and Aotearoa [the Maoris’ name for New Zealand] hold very different ranks in the United Nations Human Development Programme assessments, where Indonesia is classified as a medium development country and Aotearoa New Zealand as a very high development country. In Chapter 7, “Domestic Violence Against Women in Indonesia and Aotearoa New Zealand: Making Sense of Differences and Similarities” co-authors, in Chapter 8, Mandy Morgan and Dr. Elli N. Hayati, from New Zealand and Indonesia respectively, found that despite their socio-economic differences, one in three women in each country experience physical or sexual intimate partner violence over their lifetime. In this chapter ther authors aim to deepen understandings of domestic violence through discussion of the socio-economic and demographic characteristics of theit countries to address domestic violence alongside studies of women’s attitudes to gender norms and experiences of intimate partner violence. One of the most surprising and upsetting scholarly journeys that a North American student may take involves Adolf Hitler’s comments on oppression of American Indians and Blacks as he imagined the construction of the Nazi state, a genesis of nationalism that is all but unknown in the United States of America, traced in this volume (Chapter 8) by co-editor Johansen. Beginning in Mein Kampf, during the 1920s, Hitler explicitly used the westward expansion of the United States across North America as a model and justification for Nazi conquest and anticipated colonization by Germans of what the Nazis called the “wild East” – the Slavic nations of Poland, the Baltic states, Ukraine, and Russia, most of which were under control of the Soviet Union. The Volga River (in Russia) was styled by Hitler as the Germans’ Mississippi, and covered wagons were readied for the German “manifest destiny” of imprisoning, eradicating, and replacing peoples the Nazis deemed inferior, all with direct references to events in North America during the previous century. At the same time, with no sense of contradiction, the Nazis partook of a long-standing German romanticism of Native Americans. One of Goebbels’ less propitious schemes was to confer honorary Aryan status on Native American tribes, in the hope that they would rise up against their oppressors. U.S. racial attitudes were “evidence [to the Nazis] that America was evolving in the right direction, despite its specious rhetoric about equality.” Ming Xie, originally from Beijing, in the People’s Republic of China, in Chapter 9, “News Coverage and Public Perceptions of the Social Credit System in China,” writes that The State Council of China in 2014 announced “that a nationwide social credit system would be established” in China. “Under this system, individuals, private companies, social organizations, and governmental agencies are assigned a score which will be calculated based on their trustworthiness and daily actions such as transaction history, professional conduct, obedience to law, corruption, tax evasion, and academic plagiarism.” The “nationalism” in this case is that of the state over the individual. China has 1.4 billion people; this system takes their measure for the purpose of state control. Once fully operational, control will be more subtle. People who are subject to it, through modern technology (most often smart phones) will prompt many people to self-censor. Orwell, modernized, might write: “Your smart phone is watching you.” Ming Xie holds two Ph.Ds, one in Public Administration from University of Nebraska at Omaha and another in Cultural Anthropology from the Chinese Academy of Social Sciences, Beijing, where she also worked for more than 10 years at a national think tank in the same institution. While there she summarized news from non-Chinese sources for senior members of the Chinese Communist Party. Ming is presently an assistant professor at the Department of Political Science and Criminal Justice, West Texas A&amp;M University. In Chapter 10, analyzing native peoples and nationhood, Barbara Alice Mann, Professor of Honours at the University of Toledo, in “Divide, et Impera: The Self-Genocide Game” details ways in which European-American invaders deprive the conquered of their sense of nationhood as part of a subjugation system that amounts to genocide, rubbing out their languages and cultures -- and ultimately forcing the native peoples to assimilate on their own, for survival in a culture that is foreign to them. Mann is one of Native American Studies’ most acute critics of conquests’ contradictions, and an author who retrieves Native history with a powerful sense of voice and purpose, having authored roughly a dozen books and numerous book chapters, among many other works, who has traveled around the world lecturing and publishing on many subjects. Nalanda Roy and S. Mae Pedron in Chapter 11, “Understanding the Face of Humanity: The Rohingya Genocide.” describe one of the largest forced migrations in the history of the human race, the removal of 700,000 to 800,000 Muslims from Buddhist Myanmar to Bangladesh, which itself is already one of the most crowded and impoverished nations on Earth. With about 150 million people packed into an area the size of Nebraska and Iowa (population less than a tenth that of Bangladesh, a country that is losing land steadily to rising sea levels and erosion of the Ganges river delta. The Rohingyas’ refugee camp has been squeezed onto a gigantic, eroding, muddy slope that contains nearly no vegetation. However, Bangladesh is majority Muslim, so while the Rohingya may starve, they won’t be shot to death by marauding armies. Both authors of this exquisite (and excruciating) account teach at Georgia Southern University in Savannah, Georgia, Roy as an associate professor of International Studies and Asian politics, and Pedron as a graduate student; Roy originally hails from very eastern India, close to both Myanmar and Bangladesh, so he has special insight into the context of one of the most brutal genocides of our time, or any other. This is our case describing the problems that nationalism has and will pose for the sustainability of the Earth as our little blue-and-green orb becomes more crowded over time. The old ways, in which national arguments often end in devastating wars, are obsolete, given that the Earth and all the people, plants, and other animals that it sustains are faced with the existential threat of a climate crisis that within two centuries, more or less, will flood large parts of coastal cities, and endanger many species of plants and animals. To survive, we must listen to the Earth, and observe her travails, because they are increasingly our own.
APA, Harvard, Vancouver, ISO, and other styles
2

Buzsáki, György. The Brain from Inside Out. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190905385.001.0001.

Full text
Abstract:
The Brain from Inside Out takes a critical look at contemporary brain research and reminds us that theoretical framework does matter. Current technology-driven neuroscience is still largely fueled by an empiricist philosophy assuming that the brain’s goal is to perceive, represent the world, and learn the truth. An inevitable consequence of this framework is the assumption of a decision-making homunculus wedged between our perception and actions. In contrast, The Brain from Inside Out advocates that the brain’s fundamental function is to induce actions and predict the consequences of those actions to support the survival and prosperity of the brain’s host. Brains constantly test their hypotheses by producing actions rather than searching for the veridical objective world. Only actions can provide a second opinion about the relevance of the sensory inputs and provide meaning for and interpretation of those inputs. In this inside-out framework, it is not sensations that teach the brain and build up its circuits. Instead, the brain comes with a preconfigured and self-organized dynamics that constrains how it acts and views the world. Both its anatomical and physiological organizations are characterized by an enormous diversity which spans several orders of magnitude. The two ends of this continuous landscape give rise to apparently distinct qualitative features. A small core of strongly interconnected, highly active neurons provides fast and “good-enough” answers in needy situations by generalizations, whereas detailed and precise solutions rely on the contribution of the more isolated and sluggish majority. In this non-egalitarian organization, preexisting nonsense brain patterns become meaningful through action-based experience. The inside-out framework offers an alternative strategy to investigate how brain operations give rise to our cognitive faculties, as opposed to the outside-in approach that explores how our preconceived ideas map onto brain structures.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "SOM(self organization map)"

1

Sarma, Mousmita, and Kandarpa Kumar Sarma. "Phoneme Segmentation Technique Using Self-Organizing Map (SOM)." In Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1862-3_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Panda, Sudhanshu Sekhar. "Self Organizing Map (SOM) Usage in LULC Classification." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1181.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Panda, Sudhanshu. "Self Organizing Map (SOM) Usage in LULC Classification." In Encyclopedia of GIS. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_1181-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Panda, Sudhanshu. "Self-Organizing Map (SOM) Usage in LULC Classification." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_1181.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Dogan, Yunus, Derya Birant, and Alp Kut. "SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms." In Machine Learning and Data Mining in Pattern Recognition. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39712-7_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Sjöberg, Mats, and Jorma Laaksonen. "Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood." In Advances in Self-Organizing Maps. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02397-2_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Germen, Emin, D. Gökhan Ece, and Ömer Nezih Gerek. "Self Organizing Map (SOM) Approach for Classification of Power Quality Events." In Artificial Neural Networks: Biological Inspirations – ICANN 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11550822_63.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Hussin, M., J. Bakus, and M. Kamel. "Enhanced phrase-based document clustering using Self-Organizing Map (SOM) architectures." In Neural Information Processing: Research and Development. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39935-3_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Keškić, Leila, Jasin Hodžić, and Belma Alispahić. "GGene clustering using Gene expression data and Self-Organizing Map (SOM)." In IFMBE Proceedings. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4166-2_69.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kapral, Raymond. "Coupled Map Lattices: Abstract Dynamics and Models for Physical Systems." In Self-Organization, Emerging Properties, and Learning. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3778-6_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "SOM(self organization map)"

1

Fidan, Ugur, Nese Ozkan, and Ismail Calikusu. "Clustering and classification of dermatologic data with Self Organization Map (SOM) method." In 2016 Medical Technologies National Congress (TIPTEKNO). IEEE, 2016. http://dx.doi.org/10.1109/tiptekno.2016.7863075.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mittal, Mohit, and Krishan Kumar. "Data clustering in wireless sensor network implemented on self organization feature map (SOFM) neural network." In 2016 International Conference on Computing, Communication and Automation (ICCCA). IEEE, 2016. http://dx.doi.org/10.1109/ccaa.2016.7813718.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Guo, Zhendong, Zhiming Zhou, Liming Song, Jun Li, and Zhenping Feng. "Aerodynamic Analysis and Multi-Objective Optimization Design of a High Pressure Ratio Centrifugal Impeller." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-25496.

Full text
Abstract:
The design of high pressure ratio impellers is a challenging task. SRV2-O, a typical high pressure ratio centrifugal impeller is selected for the research. A good understanding of flow characteristics in the passage of SRV2-O is obtained by using 3D Reynolds-Averaged Navier-Stokes (RANS) solutions upon numerical validation. It confirms that tip leakage flow and shock wave boundary layer interactions produce the primary energy loss in this transonic impeller. A 3D multi-objective aerodynamic optimization and data mining method named BMOE is presented and programmed by integrating a self-adaptive multi-objective differential evolution algorithm SMODE, 3D blade parameterization method based on non-uniformed B-Spline, RANS solver technique and self-organization map (SOM) based data mining technique. Using BMOE, multi-objective aerodynamic design optimization and data mining is performed for SRV2-O. 14 Pareto solutions are obtained for maximizing isentropic efficiency and total pressure ratio of the impeller. Three typical Pareto solutions, Design A with the highest efficiency, Design B with the higher efficiency and larger pressure ratio and Design C with the maximum pressure ratio, are analyzed. Detailed analysis indicates that the aerodynamic performance of optimized designs is greatly improved. Furthermore, by SOM-based data mining on optimization results, trade-off relation between objective functions and parameter influence mechanism on impeller aerodynamic performance are visualized and explored.
APA, Harvard, Vancouver, ISO, and other styles
4

Song, Yingjie, Zhendong Guo, Liming Song, Jun Li, and Zhenping Feng. "Multi-Objective and Multi-Disciplinary Optimization of Gas Turbine Blade Profile and Cooling System Using Conjugate Heat Transfer Analysis." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-25495.

Full text
Abstract:
This paper presents a multi-objective and multi-disciplinary design optimization and data mining of gas turbine blade profile and cooling system by using conjugate heat transfer analysis. A 3D multi-disciplinary aerothermal optimization and data mining is proposed and developed by integrating the global optimization method of self-adaptive multi-objective differential evolution (SMODE) algorithm based on constraint-handling method, the CHT method for aerothermal performance evaluation of gas turbine blade, the 3D blade parameterization method and the self-organization map (SOM) based data mining technique. Using CHT, a numerical investigation was carried out to evaluate the aerothermal performance of C3X model, which consists of the blade passage, the blade solid domain and the internal coolant flow passages. The results calculated by the CHT method were validated by the experimental results. A new parameterization method for modeling the blade profile and cooling system has been developed. The optimization is intended to minimize the maximum blade temperature and the temperature gradient with constraints on the coolant mass flow rate, total mass flow rate and total pressure recovery coefficient of the blade. 27 Pareto solutions are obtained after the multidisciplinary design optimization for the gas turbine blade. Detailed aerothermal analysis shows that the thermal performance of the blade is significantly improved without deteriorating the related aerodynamic performance, thereby the correctness and effectiveness of our proposed optimization method are demonstrated. The SOM-based data mining on optimization design space is also applied to explore the trade-off relations between objective functions and correlations among design variables and objective function.
APA, Harvard, Vancouver, ISO, and other styles
5

Zhenyou Zhang and Kesheng Wang. "Fault isolation using self-organizing map (SOM) ANNS." In IET International Communication Conference on Wireless Mobile and Computing (CCWMC 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.0923.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Hentinen, Markku. "Workboat Design with Self-Organising Map Technique (SOM)." In Small Craft Safety. RINA, 2001. http://dx.doi.org/10.3940/rina.sc.2001.02.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Hu, Renjie, Venous Roshdibenam, Hans J. Johnson, et al. "ELM-SOM: A Continuous Self-Organizing Map for Visualization." In 2018 International Joint Conference on Neural Networks (IJCNN). IEEE, 2018. http://dx.doi.org/10.1109/ijcnn.2018.8489268.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Dewan, Pranita, Raghu Ganti, and Mudhakar Srivatsa. "SOM-TC: Self-Organizing Map for Hierarchical Trajectory Clustering." In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2017. http://dx.doi.org/10.1109/icdcs.2017.244.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Widiyaningtyas, Triyanna, Ilham Ari Elbaith Zaeni, and Putri Yula Wahyuningrum. "Self-Organizing Map (SOM) For Diagnosis Coronary Heart Disease." In 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE). IEEE, 2019. http://dx.doi.org/10.1109/icitisee48480.2019.9003746.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Dinesh Kumar, V., and S. Radhakrishnan. "Intrusion detection in MANET using Self Organizing Map (SOM)." In 2014 Fourth International Conference on Recent Trends in Information Technology (ICRTIT). IEEE, 2014. http://dx.doi.org/10.1109/icrtit.2014.6996118.

Full text
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!