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Dissertations / Theses on the topic 'Kohonen Self-Organizing Map (SOM)'

Author: Grafiati

Published: 16 June 2021

Last updated: 29 July 2025

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1

Leloup, Julie. "Influence du changement climatique sur les caractéristiques d'ENSO par méthodes neuronales." Paris 6, 2006. http://www.theses.fr/2006PA066618.

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Le phénomène El Niño-Southern Oscillation est le mode de variabilité climatique le plus énergétique aux échelles interannuelles. Quelles sont les caractéristiques de cette variabilité et plus particulièrement des événements El Niño/La Niña et comment sont-elles susceptibles d'évoluer en réponse au changement climatique ? À l'aide d'une méthodologie originale, reposant sur l'utilisation des cartes de Kohonen (SOM, Self-Organizing Map) et la température de surface de l'océan Pacifique équatorial, certaines modifications d'ENSO sont identifiées au cours de la période 1950-2002 et la méthode est v

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Sousa, Miguel Angelo de Abreu de. "Metodologias para desenvolvimento de mapas auto-organizáveis de Kohonen executados em FPGA." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-06092018-091449/.

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Dentro do cenário de projeto de circuitos elétricos orientados para o processamento de redes neurais artificiais, este trabalho se concentra no estudo da implementação de Mapas Auto-organizáveis (SOM, do inglês, Self-Organizing Maps) em chips FPGA. A pesquisa aqui realizada busca, fundamentalmente, responder à seguinte pergunta: como devem ser projetadas as arquiteturas computacionais de cada etapa de processamento do SOM para serem adequadamente executadas em FPGA? De forma mais detalhada, o trabalho investiga as possibilidades que diferentes circuitos de computação do SOM oferecem em relação

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Skřížala, Martin. "Využití neuronových sítí v klasifikaci srdečních onemocnění." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217210.

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This thesis discusses the design and the utilization of the artificial neural networks as ECG classifiers and the detectors of heart diseases in ECG signal especially myocardial ischaemia. The changes of ST-T complexes are the important indicator of ischaemia in ECG signal. Different types of ischaemia are expressed particularly by depression or elevation of ST segments and changes of T wave. The first part of this thesis is orientated towards the theoretical knowledges and describes changes in the ECG signal rising close to different types of ischaemia. The second part deals with to the ECG s

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Nordqvist, My. "Classify part of day and snow on the load of timber stacks : A comparative study between partitional clustering and competitive learning." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42238.

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In today's society, companies are trying to find ways to utilize all the data they have, which considers valuable information and insights to make better decisions. This includes data used to keeping track of timber that flows between forest and industry. The growth of Artificial Intelligence (AI) and Machine Learning (ML) has enabled the development of ML modes to automate the measurements of timber on timber trucks, based on images. However, to improve the results there is a need to be able to get information from unlabeled images in order to decide weather and lighting conditions. The objec

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Procházka, Tomáš. "Využití neuronových sítí pro klasifikaci alternací vlny T." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217219.

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This thesis deals with analysis of T-wave Alternans (TWA), periodical changes of T wave in ECG signal. Presence of these alternans may predict higher risk of sudden cardiac death. From the several possible ways of TWA classification, the training algorithms of self organizing maps are used in this thesis. Result of the thesis is a program, which in the first step detects QRS complexes in the signal. Then, in the next step, gained reference points are used for T-waves detection. Detected waves are represented by a vector of significant points, which is used as an input for artificial neural net

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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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7

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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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.

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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 large

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9

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.

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10

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.

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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 sis

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Souza, Luis Gustavo Mota. "ProposiÃÃo e avaliaÃÃo de algoritmos de filtragem adaptativa baseados na rede de kohonen." Universidade Federal do CearÃ, 2007. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2034.

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nÃo hÃ<br>A Rede Auto-OrganizÃvel de Kohonen (Self-Organizing Map - SOM), por empregar um algoritmo de aprendizado nÃo supervisionado, vem sendo tradicionalmente aplicada na Ãrea de processamento de sinais em tarefas de quantizaÃÃo vetorial, enquanto que redes MLP (Multi-layer Perceptron) e RBF (Radial Basis Function) dominam as aplicaÃÃes que exigem a aproximaÃÃo de mapeamentos entrada-saÃda. Este tipo de aplicaÃÃo Ã comumente encontrada em tarefas de filtragem adaptativa que podem ser formatadas segundo a Ãtica da modelagem direta e inversa de sistemas, tais como identificaÃÃo equalizaÃÃo de

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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.

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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 at

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Jamborová, Soňa. "Segmentace obrazu pomocí neuronové sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236925.

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This work is about suggestion of the software for neural network based image segmentation. It defines basic terms for this topics. It is focusing mainly at preperation imaging information for image segmentation using neural network. It describes and compares different aproaches for image segmentation.

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Vrábelová, Pavla. "Segmentace obrazu pomocí neuronové sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237195.

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This paper deals with application of neural networks in image segmentation. First part is an introduction to image processing and neural networks, second part describes an implementation of segmentation system and presents results of experiments. The segmentation system enables to use different types of classifiers, various image features extraction and also to evaluate the success of segmentation. Two classifiers were created - a neural network (self-organizing map) and an algorithm K-means. Colour (RGB and HSV) and texture features and their combinations were used for classification. Texture

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Vadoodi, Roshanak. "Geophysical vectoring of mineralized systems in northern Norrbotten." Licentiate thesis, Luleå tekniska universitet, Geovetenskap och miljöteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-82408.

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The Fennoscandian Shield as a part of a large Precambrian basement area is located in northern Europe and hosts economically important mineral deposits including base metals and precious metals. Regional geophysical data such as potential field and magnetotelluric data in combination with other geoscientific data contain information of importance for an understanding of the crustal and upper mantle structure. Knowledge about regional-scale structures is important for an optimized search for mineralisation. In order to investigate in more detail the spatial distribution of regional electrically

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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.

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

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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, i

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Jansson, Mattias, and Jimmy Johansson. "Interactive Visualization of Statistical Data using Multidimensional Scaling Techniques." Thesis, Linköping University, Department of Science and Technology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1716.

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<p>This study has been carried out in cooperation with Unilever and partly with the EC founded project, Smartdoc IST-2000-28137. </p><p>In areas of statistics and image processing, both the amount of data and the dimensions are increasing rapidly and an interactive visualization tool that lets the user perform real-time analysis can save valuable time. Real-time cropping and drill-down considerably facilitate the analysis process and yield more accurate decisions. </p><p>In the Smartdoc project, there has been a request for a component used for smart filtering in multidimensional data sets. As

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Bottin, Marius. "Structure des assemblages de diatomées benthiques en rivière : l'environnement explique-t-il tout ? : processus écologiques et développement méthodologiques." Thesis, Bordeaux 1, 2012. http://www.theses.fr/2012BOR14537/document.

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Les diatomées sont des algues microscopiques qui sont largement utilisées pour évaluer la qualité écologique des cours d'eau.Les méthodes utilisées se basent sur des modèles simplifiés de biologie des communautés, dans lesquels seules les réponses individuelles des espèces à l'environnement sont prises en compte.Le test de l'importance de processus complémentaires a montré un impact fort des dynamiques de colonisation des espèces, mais un impact négligeable des phénomènes de compétition ou de facilitation.Ces processus impliquent une structure des assemblages bien plus complexe que celle habit

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Tinós, Renato. "Detecção e diagnóstico de falhas em robôs manipuladores via redes neurais artificiais." Universidade de São Paulo, 1999. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-04022002-162950/.

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Neste trabalho, um novo enfoque para detecção e diagnóstico de falhas (DDF) em robôs manipuladores é apresentado. Um robô com falhas pode causar sérios danos e pode colocar em risco o pessoal presente no ambiente de trabalho. Geralmente, os pesquisadores têm proposto esquemas de DDF baseados no modelo matemático do sistema. Contudo, erros de modelagem podem ocultar os efeitos das falhas e podem ser uma fonte de alarmes falsos. Aqui, duas redes neurais artificiais são utilizadas em um sistema de DDF para robôs manipuladores. Um perceptron multicamadas treinado por retropropagação do erro é usa

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Štrba, Miroslav. "Rozpoznání ručně psaných číslic." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237266.

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Recognition of handwritten digits is a problem, which could serve as model task for multiclass recognition of image patterns. This thesis studies different kinds of algoritms (Self-Organizing Maps, Randomized tree and AdaBoost) and methods for increasing accuracy using fusion (majority voting, averaging log likelihood ratio, linear logistic regression). Fusion methods were used for combine classifiers with indentical train parameters, with different training methods and with multiscale input.

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Ozcan, Yavuzoglu Seyma. "An Evaluation Of Clustering And Districting Models For Household Socio-economic Indicators In Address-based Population Register System." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12611471/index.pdf.

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Census operations are very important events in the history of a nation. These operations cover every bit of land and property of the country and its citizens. Census data is also known as demographic data providing valuable information to various users, particularly planners to know the trends in the key areas. Since 2006, Turkey aims to produce this census data not as &ldquo<br>de-facto&rdquo<br>(static) but as &ldquo<br>de-jure&rdquo<br>(real-time) by the new Address Based Register Information System (ABPRS). Besides, by this new register based census, personal information is matched with th

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Rodrigues, Fabiene Silva. "Métodos de agrupamento na análise de dados de expressão gênica." Universidade Federal de São Carlos, 2009. https://repositorio.ufscar.br/handle/ufscar/4537.

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Made available in DSpace on 2016-06-02T20:06:03Z (GMT). No. of bitstreams: 1 2596.pdf: 1631367 bytes, checksum: 90f2d842a935f1dd50bf587a33f6a2cb (MD5) Previous issue date: 2009-02-16<br>The clustering techniques have frequently been used in literature to the analyse data in several fields of application. The main objective of this work is to study such techniques. There is a large number of clustering techniques in literature. In this work we concentrate on Self Organizing Map (SOM), k-means, k-medoids and Expectation- Maximization (EM) algorithms. These algorithms are applied to gene expres

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Sutharzan, Sreeskandarajan. "CLUSTERING AND VISUALIZATION OF GENOMIC DATA." Miami University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1563973517163859.

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Martínez, Brito Izacar Jesús. "Quantitative structure fate relationships for multimedia environmental analysis." Doctoral thesis, Universitat Rovira i Virgili, 2010. http://hdl.handle.net/10803/8590.

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Key physicochemical properties for a wide spectrum of chemical pollutants are unknown. This thesis analyses the prospect of assessing the environmental distribution of chemicals directly from supervised learning algorithms using molecular descriptors, rather than from multimedia environmental models (MEMs) using several physicochemical properties estimated from QSARs. Dimensionless compartmental mass ratios of 468 validation chemicals were compared, in logarithmic units, between: a) SimpleBox 3, a Level III MEM, propagating random property values within statistical distributions of widely reco

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Henriques, Roberto André Pereira. "CARTO-SOM - Cartogram creation using self-organizing maps." Master's thesis, 2006. http://hdl.handle.net/10362/3641.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Ciência e Sistemas de Informação Geográfica<br>The basic idea of a cartogram is to distort a map. This distortion comes from the substitution of area for some other variable (in most examples population). The objective is to scale each region according to the value it represents for the new variable, while keeping the map recognizable. The first cartograms were created to show the geographic distribution of population, in the context of human geography. Cartograms can be seen as variants of a map. The differ

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Coelho, Inês Capote. "Criação de clusters de clientes de um banco através do self-organizing maps hierárquico: comparação entre HSOM e SOM." Master's thesis, 2013. http://hdl.handle.net/10362/10511.

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Trabalho de Projeto apresentado como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação, especialização em Gestão do Conhecimento e Inteligência de Negócio<br>Um dos maiores desafios no processo de clustering está na multidimensionalidade da maioria dos problemas. A descrição de um fenómeno, necessita, normalmente, de um número elevado de variáveis, afetando assim, a eficiência dos algoritmos de clustering. Muitos destes algoritmos são sensíveis a variáveis divergentes, ou seja, com diferentes distribuições. Estas caracterizam-se por apresentar grandes dife

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Edler, Lars. "Analysing economic data with self-organizing maps : a geometric neural network approach /." 2007. http://www.gbv.de/dms/zbw/550728139.pdf.

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Lourenço, Marcos Pratas. "Caracterização da situação orçamental no poder local em indicadores orçamentais e self-organizing map." Master's thesis, 2011. http://hdl.handle.net/10362/5648.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação.<br>Com este trabalho pretende-se caracterizar organizações do poder local portuguesas face ao orçamento que dispuseram entre os anos de 2005 e 2008. Esta caracterização será feita recorrendo ao uso de rácios baseados em indicadores orçamentais, informação proveniente do poder local do continente português, região autónoma da Madeira e dos Açores. Pretende-se também o desenvolvimento de uma solução que permita auxiliar no processo de tomada de decisão. A ferramenta que servirá d

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Gorricha, Jorge Manuel Lourenço. "Visualization of clusters in geo-referenced data using three-dimensional self-organizing maps." Master's thesis, 2010. http://hdl.handle.net/10362/2631.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação<br>The Self-Organizing Map (SOM) is an artificial neural network that performs simultaneously vector quantization and vector projection. Due to this characteristic, the SOM is an effective method for clustering analysis via visualization. The SOM can be visualized through the output space, generally a regular two-dimensional grid of nodes, and through the input space, emphasizing the vector quantization process. Among all the strategies for visualizing the SOM, we are particular

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Cordas, Catarina Isabel Agostinho. "Análise Exploratória do Índice de Desenvolvimento Humano: uma aplicação do Self Organizing Map na segmentação dos países." Master's thesis, 2012. http://hdl.handle.net/10362/8791.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação.<br>Em 1990 as Nações Unidas através do seu Programa para o Desenvolvimento, introduziu o Índice de Desenvolvimento Humano, que se tornaria um dos índices mais utilizados para comunicar o desenvolvimento dos países. Todos os anos este índice é publicado, classificando os países em quatro categorias: “Desenvolvimento Humano Baixo”, “Desenvolvimento Humano Médio”, “Desenvolvimento Humano Alto” e “Desenvolvimento Humano Muito Alto”. A simplicidade deste índice (média da reali

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Villar, João Felipe Campos. "Relação entre as variáveis sociais, económicas e ambientais com o padrão da distribuição espaço-temporal dos casos de Dengue por munícipio no Brasil : de 2008 até 2012, utilizando o SOM." Master's thesis, 2015. http://hdl.handle.net/10362/16060.

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Atualmente, um dos principais desafios que afeta a saúde pública no Brasil é a crescente evolução no número de casos e epidemias provocados pelo vírus da dengue. Não existem estudos suficientes que consigam elucidar quais fatores contribuem para a evolução das epidemias de Dengue. Fatores como condições sanitárias, localização geográfica, investimentos financeiros em infraestrutura e qualidade de vida podem estar relacionados com a incidência de Dengue. Além disso, outra questão que merece um maior destaque é o estudo para se identificar o grau de impacto das variáveis determinantes da dengue

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Dean, Eileen J. "Computer aided identification of biological specimens using self-organizing maps." Diss., 2010. http://hdl.handle.net/2263/23116.

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For scientific or socio-economic reasons it is often necessary or desirable that biological material be identified. Given that there are an estimated 10 million living organisms on Earth, the identification of biological material can be problematic. Consequently the services of taxonomist specialists are often required. However, if such expertise is not readily available it is necessary to attempt an identification using an alternative method. Some of these alternative methods are unsatisfactory or can lead to a wrong identification. One of the most common problems encountered when identifying

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Yao, Yu-Chi, and 游玉麒. "A Study on the construction of a Tamdem Automated Guided Vehicle System by Using the concept of Self-Organizing Map (SOM) neural network." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/62897117015211981253.

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碩士<br>國立雲林科技大學<br>工業工程與管理研究所碩士班<br>90<br>This research proposes a basic designing structure of the tandem automated guided vehicle (AGV) system. The main structure consists of two stages as follows: Stage Ι：Work stations partition In this stage, the concept of Self-Organizing Map (SOM) neural network will be use to develop a partitioning scheme to configure tandem AGV system. During the work stations partitioning stage, the total workload of the AGV system will be considered. The partitioning scheme is aimed to minimize the AGV’s workload, which include flow wi

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Windisch, Sven. "Entwurf einer lernfähigen selbst-organisierenden Karte (SOM) in SystemC zur Realisierung in einem eingebetteten System." 2008. https://ul.qucosa.de/id/qucosa%3A17203.

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Im Bereich der medizinischen Geräte haben eingebettete Systeme verstärkt Einzug gehalten. Nicht nur in Operationssälen oder Intensivstationen, auch im Bereich der Prothesensteuerung spielt moderne Computertechnik in zunehmendem Maße eine Rolle, auch und insbesondere im Bereich der Prothesensteuerung durch elektronisch vorverarbeitete Nervensignale. Die zur Signalverarbeitung eingesetzte, vortrainierte selbst-organisierende Karte stößt jedoch auf das Problem, sich den verändernden Gegebenheiten in den Nervensignalen des Patienten nicht anpassen zu können. In dieser Arbeit wird die Möglichkeit u

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Antunes, Jorge Manuel Alves. "Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon." Master's thesis, 2016. http://hdl.handle.net/10362/17446.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management<br>The interest in using information to improve the quality of living in large urban areas and its governance efficiency has been around for decades. Nevertheless, the improvements in Information and Communications Technology has sparked a new dynamic in academic research, usually under the umbrella term of Smart Cities. This concept of Smart City can probably be translated, in a simplified version, into cities that are l

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Prayag, Gowgi S. K. "Spatio-temporal Memories: Theory and Algorithms." Thesis, 2019. https://etd.iisc.ac.in/handle/2005/4943.

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This thesis is primarily focused on building a systematic theory for spatio-temporal memories based on unsupervised learning and exploring its applications. Also, contributions are made in the area of supervised learning techniques. The self-organizing map (SOM) is a biologically inspired unsupervised learning paradigm which finds numerous applications in learning, clustering and recalling spatial input patterns. SOM is also used as a software tool for visualizing high-dimensional data space by projecting it onto a lower dimensional space, typically two-dimensions and can be considered as a v

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Gamble, Andrew Stephan. "Combining Multivariate Statistical Methods and Spatial Analysis to Characterize Water Quality Conditions in the White River Basin, Indiana, U.S.A." Thesis, 2011. http://hdl.handle.net/1805/2460.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>This research performs a comparative study of techniques for combining spatial data and multivariate statistical methods for characterizing water quality conditions in a river basin. The study has been performed on the White River basin in central Indiana, and uses sixteen physical and chemical water quality parameters collected from 44 different monitoring sites, along with various spatial data related to land use – land cover, soil characteristics, terrain characteristics, eco-regions, etc. Various parameters related to the spati

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Deleu, Romain. "Hydrology of the karstic basin of Sprimont, Belgium : On the use of spectrofluorimetry and pharmaceutical substances as a supporting tool for hydrochemistry analysis." Thesis, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-161567.

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The strong variation in carbonate content of the geological formations in the basin of Sprimont, Belgium, implies different groundwater behaviours in the substratum. The existence of carbonated materials such as limestone is responsible for the existence of a well-developed karstic system restricted to the Carboniferous materials which has a strong impact on the local hydrology and hydrogeology. Surface streams lose through local sinkholes to resurface at the spring of Trou Bleu, the only outlet of the basin and the drainage point of local aquifers. The study focuses on the assessment of exist

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Macari, Octavian. "Desenvolvimento de Métodos de Processamento de Levantamentos Hidrográficos Expeditos." Master's thesis, 2018. http://hdl.handle.net/10400.26/25099.

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O conhecimento do fundo marinho é um fator crucial para a segurança da navegação, assim como para as diversas atividades marítimas. O progresso da hidrografia tem mostrado novos horizontes trazendo diversos sistemas complexos que prometem resolver muitos dos desafios nesta área. Respetivamente à aquisição de dados batimétricos através de sondadores de feixe-simples, este trabalho surge da necessidade de colmatar os erros dependentes do fator humano, reduzir o tempo de processamento e melhorar a qualidade do mesmo. Para tal, são necessárias ferramentas computacionais que auxiliem a fase de pro

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