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Dissertations / Theses on the topic 'Sel (MCP)'

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Published: 4 June 2021

Last updated: 18 February 2022

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1

Lopez, Jérôme. "Nouveaux matériaux graphite/sel pour le stockage d'énergie à haute température : étude des propriétés de changement de phase." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2007. http://tel.archives-ouvertes.fr/tel-00276277.

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Ce travail est une contribution à l'étude de nouveaux matériaux composites graphite/sel pour le stockage de l'énergie thermique à haute température (>200°C), l'objectif étant d'analyser et de comprendre l'influence du graphite et de la microstructure des matériaux graphite/sel sur les propriétés de transition de phase des sels. Cette thèse a été effectuée dans le cadre de deux projets : DISTOR (Européen) et HTPSTOCK (Français). Les apports majeurs de ce travail sont triples : <br />1) Il apporte une base de données importante (propriétés de changement de phase solide-liquide) sur six sels et l

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Acem, Zoubir. "Nouveaux composites graphite/sel destinés au stockage de l'énergie thermique à haute température : De l'élaboration au développement de méthodes de caractérisation thermique de matériaux conducteurs orthotropes." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2007. http://tel.archives-ouvertes.fr/tel-00263601.

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Cette thèse a été effectuée dans le cadre des projets DISTOR (Européen) et HTPSTOCK (Français) qui visent à concevoir et étudier de nouveaux composites graphite/sel destinés au stockage de l'énergie thermique à haute température (>200°C). Elle est scindée en deux parties distinctes. <br />La première partie détaille les travaux relatifs à l'élaboration et la caractérisation thermique de ces nouveaux composites. On y présente les différentes voies d'élaboration des composites (dispersion, compression uniaxiale, isostatique) associées aux différents types de graphite (graphite naturel expansé (G

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3

HILLNERTZ, FREDRIK. "Incremental Self Learning Road map." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-155910.

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This paper describes a system that incrementally constructs an increasingly accurate road map from GPS traces from a single vehicle. The resulting road map contains information about the road such as road gradient which can be used by functions in a heavy vehicle to drive more effectively. The system is supposed to run on an embedded system in a heavy vehicle and is therefore design to require as little working memory and processing time as possible.Pre- and post processing techniques that counters GPS noise, random movements and improve the quality of the road map are also described, for exam

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Cambio, Roberta. "Low power digital self organising map." Thesis, University of Aberdeen, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400710.

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As the predicted application of the Self Organising Map, SOM, in portable devices makes power dissipation a critical design issue, recent hardware implementations of the SOM have focused on power. In more detail, the main principle shared among designers is to address power from the early stages of the design process. During the various phases of the process the power performance of differing design options should be estimated in order to choose the most power effective one. Clearly this level-by-level approach shortens times in comparison with a more old-fashioned approach which collects the

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5

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/.

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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 ana

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Farshad, Tabrizi Seyed Ramin. "The Probabilistic Supervised Self-Organizing Map, PSSOM." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ31828.pdf.

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Lam, Yiu Man. "Self-organized cortical map formation by guiding connections /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202005%20LAM.

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8

Reid, Benjamin. "Constructing a v2 Self Map at p=3." Thesis, University of Oregon, 2017. http://hdl.handle.net/1794/22690.

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Working at the prime p = 3, we construct a stably finite spectrum, Z, with a v_2^1 self map f. Further, both Ext_A(H*(Z),Z_3) and Ext_A(H*(Z),H*(Z)) have a vanishing line of slope 1/16 in (t-s,s) coordinates, and the map f is represented by an element a of Ext where multiplication by a is parallel to the vanishing line. To accomplish this construction, we prove a result about the connection between particular self maps of spectra and their effect on the Margolis homology of related modules over the Steenrod Algebra.

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9

Choe, Yoonsuck. "Perceptual grouping in a self-organizing map of spiking neurons." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3025202.

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10

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.

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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 adap

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11

Schwardt, Martin. "Lösung ausgewählter Routenplanungsprobleme mit Hilfe der self-organizing map." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=975255126.

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Pourkia, Javid. "A SELF-ORGANIZING MAP APPROACH FOR HOSPITAL DATA ANALYSIS." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/theses/1553.

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In this work, we utilize Self Organized Maps (SOM) to cluster and classify hospital related data with large dimensions, provided by Medicare website. These data have published every year and it includes numerous measures for each hospital in the nationwide. It might be possible to unearth some correlations in health-care industry by being able to interpreting this dataset, for example by examining the relations between data of immunizations department to readmission records and hospital expenses. It is not feasible to make any sense from these measures altogether using traditional methods (2D

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13

Wang, Dali. "Adaptive Double Self-Organizing Map for Clustering Gene Expression Data." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/WangD2003.pdf.

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14

Lightowler, Neil. "Modular maps : an implementation strategy for the Self-Organising Map." Thesis, University of Aberdeen, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401372.

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This thesis presents a modular strategy towards the implementation and application of an artificial neural network (ANN) paradigm called the Self-Organising Map (SOM). This modular strategy was derived as an approach towards developing an implementable and scaleable ANN system. The design of these modules, called Modular Maps, is presented along with details of suitable implementation technologies. Different connection schemes for combining modules are investigated and their effects discussed. Comparisons of the Modular Map and a unitary SOM system are made. These comparisons include considera

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Brogan, Frank. "Map-making with MacIntyre : the self and education in question." Thesis, University of York, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263861.

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Ahamd, Usman Aliyu. "Automated data classification using feature weighted self-organising map (FWSOM)." Thesis, University of Aberdeen, 2018. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=239342.

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The enormous increase in the production of electronic data in today's information era has led to more challenges in analysing and understanding of the data. The rise in the innovations of technology devices, computers and the Internet has made it much easier to collect and store different kind of data ranging from personal, medical, financial, and scientific data. The growth in the amount of the generated data has introduced the term “Big Data” to describe this extremely high-dimensional and yet complex data. Making sense of the generated data sets is of great importance for the discovery of m

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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.

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Mewes, Daniel, and Ch Jacobi. "Analyzing Arctic surface temperatures with Self Organizing-Maps: Influence of the maps size." Universität Leipzig, 2018. https://ul.qucosa.de/id/qucosa%3A31794.

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We use ERA-Interim reanalysis data of 2 meter temperature to perform a pattern analysis of the Arctic temperatures exploiting an artificial neural network called Self Organizing-Map (SOM). The SOM method is used as a cluster analysis tool where the number of clusters has to be specified by the user. The different sized SOMs are analyzed in terms of how the size changes the representation of specific features. The results confirm that the larger the SOM is chosen the larger will be the root mean square error (RMSE) for the given SOM, which is followed by the fact that a larger number of pattern

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Larman, Mark Graham. "Calcium and MAP kinase regulation during the cell cycle." Thesis, University of Newcastle Upon Tyne, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340683.

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Kosteletos, Anna. "A self-help methodology to analyse groups and map their dynamics." Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.576084.

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Groups play a significant role in our lives from a diverse number of perspectives; at work, psychologically, socially and personally. Therefore, it could reasonably be argued that it is.lmperatlve for us to seek to gain a deeper understanding of what a group is, how they operate (their dynamics) and which of these elements are important to enable them to function. Simultaneously, it could be argued that it is essential that groups understand each of these factors, which may affect them. If it was possible to identify factors that could enhance their understanding of group life, this may enable

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Kirkpatrick, Russell. "Putting self on the map: An examination of user-driven mapping." Thesis, University of Canterbury. Geography, 1991. http://hdl.handle.net/10092/4899.

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This thesis advances the basic argument that many people have difficulty interpreting cartographic information because that information has not been provided to meet their needs. Map users are wrongly regarded as passive users of a finished product. Original work in this thesis attempts to make the wishes of map users more prominent in the mapmaking process. The research is based upon the presupposition that people conduct communicative activity as a ritual, the form of which is designed to advantage some participants while imposing on others. Cartographic communication is examined on this ba

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Žáček, Viktor. "Kohonenova samoorganizační mapa." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219527.

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Work deal about self-organizing maps, especially about Kohonen self-organizing map. About creating of aplication, which realize creating and learning of self-organizing map. And about usage of self-organizing map for self-localization of robot.

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Tervonen, J. (Jaakko). "Exploring behaviour patterns with self-organizing map for personalised mental stress detection." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201904131491.

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Abstract. Stress is an important health problem and the cause for many illnesses and working days lost. It is often measured with different questionnaires that capture only the current stress levels and may come in too late for early prevention. They are also prone to subjective inaccuracies since the feeling of stress, and the physiological response to it, have been found to be individual. Real-time stress detectors, trained on biosignals like heart rate variability, exist but majority of them employ supervised learning which requires collecting a large amount of labelled data from each syste

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Kedrowski, Philip Redleaf. "Development and Implementation of a Self-Building Global Map for Autonomous Navigation." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/31895.

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Students at Virginia Tech have been developing autonomous vehicles for the past five years. The purpose of these vehicles has been primarily for entry in the annual international Intelligent Ground Vehicle Competition (IGVC), however further applications for autonomous vehicles range from UneXploded Ordinance (UXO) detection and removal to planetary exploration. Recently, Virginia Tech developed a successful autonomous vehicle named Navigator. Navigator was developed primarily for entry in the IGVC, but also intended for use as a research platform. For navigation, Navigator uses a local ob

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Main, Jeremy P. L. "Seasonality of circulation in southern Africa using the Kohonen self-organising map." Master's thesis, University of Cape Town, 1997. http://hdl.handle.net/11427/13889.

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Bibliography: leaves 77-84.<br>A technique employing the classification capabilities of the Kohonen self-organising map (SOM) is introduced into the body of computer-based techniques available to synoptic climatology. The SOM is one of many types of artificial neural networks (ANN) and is capable of unsupervised learning or non-linear classification. Components of the SOM are introduced and an application is then illustrated using observed daily sea level pressure (SLP) from the Australian Southern Hemisphere data set. To put the technique in the context of global climate change studies, a fur

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游鴻志. "Evolutionary Self-Organizing Map." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/31927797953001438650.

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碩士<br>中原大學<br>資訊工程學系<br>85<br>Since the concept of neural network was introduced, there are many neural network models developed and used broadly in different research areas. In 1973, Kohonen proposes a new generation of neural network models, called Self-Organizing Map (SOM). The SOM algorithm adds one kinds of fixed neighborhood relations among neurons into regular neural nets and learns new patterns under such neighborhood constraints. 　　Although SOM has been proven to be effective in many applications, the fixedness of its neighborhood relations bring many inconveniences. This dissertation

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"Soft self-organizing map." Chinese University of Hong Kong, 1995. http://library.cuhk.edu.hk/record=b5888572.

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by John Pui-fai Sum.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1995.<br>Includes bibliographical references (leaves 99-104).<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Motivation --- p.1<br>Chapter 1.2 --- Idea of SSOM --- p.3<br>Chapter 1.3 --- Other Approaches --- p.3<br>Chapter 1.4 --- Contribution of the Thesis --- p.4<br>Chapter 1.5 --- Outline of Thesis --- p.5<br>Chapter 2 --- Self-Organizing Map --- p.7<br>Chapter 2.1 --- Introduction --- p.7<br>Chapter 2.2 --- Algorithm of SOM --- p.8<br>Chapter 2.3 --- Illustrative Example --- p.10<br>Chapter 2.4 -

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Cheng, Wei-Chen, and 鄭為正. "Distance Invariant Self-organizing Map." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/33410109389825158018.

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博士<br>臺灣大學<br>資訊工程學研究所<br>98<br>This dissertation presents a distance invariant manifold that preserves neighboring relationships among data patterns. Since all input patterns have their corresponding cells in the manifold space, the neighboring cells of the input pattern resembles that of the output patterns. The manifold is invariant under the translation, rotation and scale of the pattern coordinates. And the neighboring relationships among cells are adjusted and improved in each iteration according to the algorithm of reduction of the distance preservation energy. This dissertation also ex

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Kuo, Kuan-hui, and 郭冠輝. "Application of Using Self-Organizing Feature Map in Concept Map." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/68288164747667026745.

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碩士<br>國立臺南大學<br>資訊教育研究所教學碩士班<br>92<br>To achieve the learning objectives, tests are often used to measure the achievements of the learners in traditional way of teaching and learning. The result of testing not only provides the information about what learners have achieved but also identify learners’ weaknesses. A good test puts emphasis on exploring learners’ learning process in order to go into the cognitive behavior of the learners and to evaluate what learners have achieved. The Self-Organizing Feature Map of neural network is applied to integrating professionals’ and teachers’ differe

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Hui-Ling, HSU, and 許惠玲. "Semantic Indexing using Self-Organizing Map." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/24872588529247968441.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>89<br>The information in literary works is rich. The task to read between the lines is challenging even for the most sophisticated system such as human brains. The main idea of this paper is to illustrate the design of a corpus-based method to find semantic structures in the complete works of Mark Twain (Samuel L. Clemens, 1835-1910), who was famous for his extraordinary sense of humor as well as social concern. Self-organizing Map (SOM) is applied to investigate the relations of vocabulary within the context of Mark Twain’s works. SOM make words cluster according

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Hsiao, Ya Wen, and 蕭雅文. "The construction of knowledge map in medical information with self-organizing map." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/94723697246861377148.

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碩士<br>長庚大學<br>企業管理研究所<br>97<br>The World Wide Web contains a large number of documents that are dynamic, unregulated nature and rapid proliferation. It is increasingly difficult to search for relevant medical information. Many tools have been developed to help users search for useful information, but most of them are still not efficient. The goal of this paper is to describe an architecture designed to integrate text mining, an automatic thesaurus, and Growing Hierarchical Self-Organizing Map (GHSOM) technologies to provide searchers with fine grained results. Thus, we present a content-base a

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Lo, Yung-Ho, and 羅永和. "Chinese Document Clustering Using Self-Organizing Map." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/97883278971622717173.

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碩士<br>國立高雄第一科技大學<br>資訊管理所<br>92<br>The 21st centenary is an age of information explosion. The continuous growth in the size and use of the Internet is creating difficulties in the search for information. Currently, the problem which the users encountered, are not lack of information but too much information. There is a need for automatic procedures that allow users to retrieve the information from the rich information sources. An effective algorithm to organize the structure of information and assist user to search information is therefore particularly important. As well known Category map de

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Lin, Chung-Fu, and 林長富. "Fractal Image Compression using Self-Organizing Map." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/50071198199820242247.

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碩士<br>義守大學<br>資訊工程學系碩士班<br>94<br>Fractal Image Compression possesses the advantages of high compression ratio, low loss ratio, and fast decompression process. The use of exhaustive search in the encoding process results in a long encoding time. However, the encoding time can be reduced with a limiting searching space. Searching space can be limited to a certain cluster through clustering the domain pool to effectively shorten the comparison time and achieve the goal of reducing encoding time. In this paper, the clustering of domain pool is implemented by Self-Organizing Map. Each domain block

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Hsu, Hsuanming, and 許軒銘. "Vector Quantization Based On Self-Organizing Map." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/87584128893710536844.

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碩士<br>義守大學<br>資訊工程學系<br>100<br>Vector quantization has the advantages of high compression ratio and fast decompression, but in a codebook generation and encoding process must be a global search, making the coding process lengthy. If we can effectively reduce the search range of the codebook generation and encoding will be able to reduce the time spent by the codebook generation and encoding. On the other hand, the traditional vector quantization to generate codebook method that is using the LBG algorithm. The initialization of codebook is very important. What if the initialization is selected

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Liao, Wen-Chung, and 廖文忠. "Extended Self-Organizing Map for Transactional Data." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/95662897650762158331.

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博士<br>國立雲林科技大學<br>管理研究所博士班<br>100<br>In many application domains, transactions are the records of personal activities. Transactions always reveal personal behavior customs, so clustering the transactional data can divide individuals into different segments. Transactional data are often accompanied with a concept hierarchy, which defines the relevancy among all of the possible items in transactional data. However, most of clustering methods for transactional data ignore the existing of the concept hierarchy. Owing to the lack of the relevancy provided by the concept hierarchy, clustering algori

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Chen, De-Hua, and 陳德華. "Self-Organizing Map Networks for Symbolic Data." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/71732493029297668562.

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博士<br>中原大學<br>應用數學研究所<br>97<br>Abstract The Kohonen’s self-organizing map (SOM) is a competitive learning neural network that uses a neighborhood lateral interaction function to discover the topological structure hidden in the data set. It is an unsupervised approach. In general, the SOM neural network is constructed as a learning algorithm for numeric (vector) data. However, except these numeric data, there are many other data types such as symbolic data. The SOM algorithm cannot treat the symbolic data. In this dissertation we are interested in considering a modified SOM for symbolic data. T

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Chiou, Peterson, and 邱俊德. "Image Compression by Self-Organized Kohonen Map." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/01643679008930323576.

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碩士<br>大葉大學<br>電機工程研究所<br>87<br>Image compression is an essential task for image storage and transmission applications. Vector quantization is often used when high compression rates are needed. Self-Organizing Map(SOM) algorithm can be used to generate codebooks for vector quantization. This thesis presents a compression scheme for digital still images using the SOM algorithm. The processes will not only have the advantages of vector quantization, but also preserve its topological property that generate ordered codebook with substantial dimension reduction which makes image compression more eff

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Li, Dong-Lin, and 李東霖. "Adaptive Self-Organizing Map and Its Applications." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/25233280500026750414.

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碩士<br>國立中興大學<br>電機工程學系所<br>94<br>Self-organizing neural network is one of the methods frequently used in data clustering. In this thesis, we present a new method to improve the self-organizing map algorithm. Instead of the 2-D neighborhood topology in the conventional self-organizing map, a 3-D 6-neighbor topology is adopted in our approach. To avoid the dead (non-functional) neurons and to represent the training data more effectively, the number of neurons and the links between the neurons will be adjusted automatically during the process of the competitive learning by using a self-constructi

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Ke, Kuo-Lung, and 柯國隆. "Research on Topic Oriented Self-organizing Map." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/36641514148320184803.

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碩士<br>國立高雄大學<br>資訊管理學系碩士班<br>98<br>Text document clustering is a basic operation of text processing and is widely applied in data visualization, theme identification, text summarization, hierarchy generation, etc. However, it will be inconvenient for users to find a document after clustering without proper labeling of topics. Moreover, there exist hierarchical relationships between document clusters. In this work, we will propose an adaptive self-organizing map model, namely the topic-oriented self-organizing map (TOSOM), that can adaptively expand the map laterally and hierarchically accordin

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WANG, KAI-PING, and 王開屏. "Digital radio communication using self-organization map." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/61176871496909219583.

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Jheng, Jian-Jhong, and 鄭建忠. "Batch Training Algorithm for Mixed-Type Self-Organizing Map with a Fixed-Sized Map." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/8839j2.

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碩士<br>國立雲林科技大學<br>資訊管理系<br>104<br>The Kohonen’s Self-Organizing Map (SOM) is a well-known unsupervised learning algorithm in the visualization field. For the Self-Organizing Map (SOM), how to find out useful information or knowledge in real-world data is very important. In recent years, the SOM has had many variants that are improved and extended to the original model. For instance, the Generalized Self-Organizing Map (GenSOM) is able to process categorical data and mixed-type data as well. The Batch Generalized Self-Organizing Map (BatchGSOM) is batch and dynamic growth version of the GenSOM

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Kaun, Wen-yu, and 關雯尤. "Object-Based Image Retrieval Using Self-Organizing Map." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/05698743129249762603.

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碩士<br>逢甲大學<br>資訊電機工程碩士在職專班<br>100<br>Content-based images retrieval (CBIR) has been widely used in many application fields. Yet, in commercial photography, ornaments and décor are often used to better the vision of the product as a whole. The images of the digital archive system for Taiwan flower anthography group are usually accompanied by other background objects that have nothing to do with the target plant. The background noise will decrease the precision rate of image retrieval. Therefore, we propose a method based on Visual Attention Model to extract image area of interest as training d

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Wang, Sheng-Hsuan, and 王勝玄. "Clustering of Self-Organizing Map on Mixed Data." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/95452369784589056271.

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碩士<br>國立雲林科技大學<br>資訊管理系碩士班<br>93<br>The visualization-induced SOM (ViSOM) is a non-linear multi-dimensional projection method, extended from self-organizing map (SOM). It overcomes the drawbacks that the structure of the clusters may not be apparent and the nodes often spread around the 2-D map in the SOM. The objective of the ViSOM is to preserve the data structure as well as the topology as faithfully as possible. Even so, it still cannot express reasonably the distance or similarity of categorical data and preserve the structure of categorical data. In this study, the extended ViSOM is prop

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Chen, De-Hua, and 陳德華. "Self-Organizing Map Networks for Mixed Feature Data." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/4psqvb.

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碩士<br>中原大學<br>應用數學研究所<br>91<br>In this paper we propose a Kohonen’s self-organizing map (SOM) for mixed feature (symbolic type and fuzzy type) data. The distance measures proposed in Gowda ＆ Diday[3,4], El-Sonbaty ＆ Ismail[2], Yang, Hwang ＆ Chen[9] and Yang ＆ Ko[10] are used in this paper. Based on these distance measuces we proposed the mixed feature data SOM (MFD-SOM). We then propose a modified type of MFD-SOM method, called the modified self-organizing map for mixed feature data (MFD-M-SOM). On the other hand, we use fuzzy-soft learning method of Wu ＆ Yang[8], and then create the fuzzy-sof

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Wang, Wu-Han, and 王梧翰. "Exploring the Effective Evaluation Indices of Self-Organizing Map for Clustering Regional Flood Inundation Map." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/sdu4s7.

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碩士<br>淡江大學<br>水資源及環境工程學系碩士班<br>106<br>Today, Artificial Intelligence is one of popular issues with many research topics and practical applications. The relative AI issues on the study of water resource management or flood forecast have become one of important topics. The purpose of this study is to propose the methodology to automatically build the Self-organizing maps (SOM) on clustering the flood spatial distribution. There are three major problems on building the SOM model; first one is the topological error, that is, any two neurons flip each other weights that makes the order of the topol

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Wu, Po-hung, and 吳柏宏. "Self-Organizing Map on Auditory-Scene based Sound Segregation." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/06644794740660182920.

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碩士<br>國立交通大學<br>電信工程系所<br>97<br>During the past decade, detailed characteristics of auditory perception have been largely incorporated into speech processing algorithms to enhance their performance. For example, in the field of sound segregation, algorithms good for the condition of multiple microphones, such as independent component analysis (ICA), are often used and show satisfactory performance. However, the truth is human has no problems in segregating mixed sounds with only one ear. In this thesis, we design such a monaural speech segregation system based on an auditory perceptual model.

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Tew, Chee-Yuen, and 趙志運. "A Self-Organizing Feature-Map-Based Neuro-Fuzzy System." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/85585354995827620877.

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碩士<br>淡江大學<br>電機工程學系<br>89<br>One of the challenges that arise in designing a fuzzy system is the trade-off between computational efficiency and performance. Basically, the more rules, the more powerful the fuzzy system becomes. However, the price paid for the high performance is that the computational load becomes extremely large. In this thesis, the author proposes an appealing and easy solution to solve the dilemma. This thesis presents an efficient scheme for fuzzy modeling by using the Kohonen’s self-organizing feature map (SOM) algorithm through its vector quantization feature and its to

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Kao, Huey-Shan, and 高慧珊. "Estimation of Evaporation using a Self-Organizing Map Network." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/68323293614423494909.

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碩士<br>國立臺灣大學<br>生物環境系統工程學研究所<br>95<br>The phenomenon of evaporation is an important factor that affects the distribution of water in hydrological cycle and plays a key role in agriculture and water resource management. The tranditional evaporation formulas usally neglect the non-linear characteristics in the nature. In this study we propose the self-organizing map(SOM) network to estimate daily evaporation. First, the daily meteorological data from climate gauges were collected as inputs of the SOM and then classified into topology map based on their similarities to investigate their potential

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Chen, Jiun-Hung, and 陳俊宏. "Lips detection using self-organizing map and reinforcement learning." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/28663252445109968468.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>87<br>Traditional lips detection methods consist of a binary classifiers which can classify lips and nonlips followed by some search algorithms. The search algorithms may depend on some face anatomatical information or heuristics. They do not learn any structural inforamiton while searching. A new lips detection approach is proposed. It solves classificaition and search at the same time based on structural infomation in faces. There are three main parts in this proposed approach. First, face detection is based on color and shape information and autocorrelation funct

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Wu, Chih-Ting, and 吳智婷. "Using Self-organizing Map to Diagnose Abnormal Engineering Change." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/uggtke.

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碩士<br>德明財經科技大學<br>資訊管理系<br>102<br>Engineering change can’t be avoided in the product life cycle. It will impact the enterprise profitability. Using Self-organizing Map and engineering change history information was established one model. It will diagnose and monitor engineering change for the enterprise. The product life cycle is 3-6 months in the case. The four months for historical data per group in the experiment, one was selected from January-April (2343 records) of control group, others were selected from May to August (3642 records) and from September to December (3864 records) for the e

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