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Dissertations / Theses on the topic 'Multilayer self organizing neural network'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Sun, Zhibin. "Application of artificial neural networks in early detection of Mastitis from improved data collected on-line by robotic milking stations." Lincoln University, 2008. http://hdl.handle.net/10182/665.

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Two types of artificial neural networks, Multilayer Perceptron (MLP) and Self-organizing Feature Map (SOM), were employed to detect mastitis for robotic milking stations using the preprocessed data relating to the electrical conductivity and milk yield. The SOM was developed to classify the health status into three categories: healthy, moderately ill and severely ill. The clustering results were successfully evaluated and validated by using statistical techniques such as K-means clustering, ANOVA and Least Significant Difference. The result shows that the SOM could be used in the robotic milki

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2

Niebur, Dagmar. "Kohonen self-organizing neural network for power system security assessment /." [S.l.] : [s.n.], 1994. http://library.epfl.ch/theses/?nr=1244.

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3

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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Quintin, G. M. M. "Implementation of self-organizing maps neural networks on network parallel computers." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0004/MQ44855.pdf.

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5

Goodman, Stephen D. "Temporal pattern identification in a self-organizing neural network with an application to data compression." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/15794.

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6

Lundberg, Emil. "Adding temporal plasticity to a self-organizing incremental neural network using temporal activity diffusion." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180346.

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Vector Quantization (VQ) is a classic optimization problem and a simple approach to pattern recognition. Applications include lossy data compression, clustering and speech and speaker recognition. Although VQ has largely been replaced by time-aware techniques like Hidden Markov Models (HMMs) and Dynamic Time Warping (DTW) in some applications, such as speech and speaker recognition, VQ still retains some significance due to its much lower computational cost — especially for embedded systems. A recent study also demonstrates a multi-section VQ system which achieves performance rivaling that of

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Edler, Lars [Verfasser]. "Analysing Economic Data with Self-Organizing Maps : A Geometric Neural Network Approach / Lars Edler." Kiel : Universitätsbibliothek Kiel, 2008. http://d-nb.info/1019667230/34.

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Vidinski, Phillip T., and Phillip T. Vidinski. "Neural Network Force Control of a Spherical Parallel Wrist." Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/625324.

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This thesis introduces an orienting mechanism and control system for the purpose of eye tonometry. The design is based on a 3RRR spherical parallel manipulator architecture. The end-effector is mounted with a triad of force sensing elements. Presented in this paper is a unique approach to force control based on an artificial neural network. The mechanism generates movements to collect data about its tactile environment ultimately generating a path to the force sensors' equilibrium point.

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Goyal, Arvind. "APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNIQUES FOR DESIGN OF MODULAR MINICELL CONFIGURATIONS." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_theses/508.

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Artificial neural networks, so far, have not been used for designing modular cells. Therefore, Self-organizing neural network (SONN) is used in the present research to design minicell-based manufacturing system. Two previously developed methods were studied and implemented using SONN model. Results obtained are compared with previous results to analyze the effectiveness of SONN in designing minicells. A new method is then developed with the objective to design minicells more effectively and efficiently. Results of all three methods are compared using machine-count and materialhandling as perfo

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10

Li, Chien-Kuo. "New neural network structures for problems with high-dimensional input space /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841317.

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11

Fallgren, Per. "Användning av Self Organizing Maps som en metod att skapa semantiska representationer ur text." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119765.

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Denna studie är ett kognitionsvetenskapligt examensarbete som syftar på att skapa en modell som skapar semantiska representationer utifrån ett mer biologiskt plausibelt tillvägagångssätt jämfört med traditionella metoder. Denna modell kan ses som ett första steg i utredningen av ansatsen som följer. Studien utreder antagandet om Self Organizing Maps kan användas för att skapa semantiska representationer ur stora mängder text utifrån ett distribuerat inspirerat tillvägagångssätt. Resultatet visar på ett potentiellt fungerande system, men som behöver utredas vidare i framtida studier för verifie

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Cheng, Yi-Hsun Ethan. "Memory-based learning structure : learning covergence [sic], network structures and training techniques /." free to MU campus, to others for purchase, 2000. http://wwwlib.umi.com/cr/mo/fullcit?p9974613.

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Rahman, Sardar Muhammad Monzurur, and mrahman99@yahoo com. "Data Mining Using Neural Networks." RMIT University. Electrical & Computer Engineering, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080813.094814.

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Data mining is about the search for relationships and global patterns in large databases that are increasing in size. Data mining is beneficial for anyone who has a huge amount of data, for example, customer and business data, transaction, marketing, financial, manufacturing and web data etc. The results of data mining are also referred to as knowledge in the form of rules, regularities and constraints. Rule mining is one of the popular data mining methods since rules provide concise statements of potentially important information that is easily understood by end users and also actionable pat

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Yogeswaran, Arjun. "Self-Organizing Neural Visual Models to Learn Feature Detectors and Motion Tracking Behaviour by Exposure to Real-World Data." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37096.

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Advances in unsupervised learning and deep neural networks have led to increased performance in a number of domains, and to the ability to draw strong comparisons between the biological method of self-organization conducted by the brain and computational mechanisms. This thesis aims to use real-world data to tackle two areas in the domain of computer vision which have biological equivalents: feature detection and motion tracking. The aforementioned advances have allowed efficient learning of feature representations directly from large sets of unlabeled data instead of using traditional handcr

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Bergkvist, Conny, and Stefan Wikner. "Self-organizing maps for virtual sensors, fault detection and fault isolation in diesel engines." Thesis, Linköping University, Department of Electrical Engineering, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2757.

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<p>This master thesis report discusses the use of self-organizing maps in a diesel engine management system. Self-organizing maps are one type of artificial neural networks that are good at visualizing data and solving classification problems. The system studied is the Vindax(R) development system from Axeon Ltd. By rewriting the problem formulation also function estimation and conditioning problems can be solved apart from classification problems. </p><p>In this report a feasibility study of the Vindax(R) development system is performed and for implementation the inlet air system is diagnosed

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Ehsani, Amir Houshang. "Morphometric and Landscape Feature Analysis with Artificial Neural Networks and SRTM data : Applications in Humid and Arid Environments." Doctoral thesis, KTH, Miljö- och resursinformation, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4789.

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This thesis presents a semi-automatic method to analyze morphometric features and landscape elements based on Self Organizing Map (SOM) as an unsupervised Artificial Neural Network algorithm in two completely different environments: 1) the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) as a complex mountainous humid area and 2) Lut Desert, Iran, a hyper arid region characterized by repetition of wind-eroded features. In 2003, the National Aeronautics and Space Administration (NASA) released the SRTM/ SIR-C band data with 3 arc seconds (approx. 90 m resolution) grid for approx

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Liu, Yonggang. "Patterns and dynamics of ocean circulation variability on the West Florida shelf." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001413.

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Černý, Lukáš. "Rozpoznávání a klasifikace emocí na základě analýzy řeči." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218787.

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The diploma thesis focuses on classification of emotions. Thesis deals about parameterization of sounds files by suprasegment and segment methods with regard for next used of these methods. Berlin database is used. This database includes many of sounds records with emotions. Parameterization creates files, which are divided to two parts. First part is used for training and second part is used for testing. Point of interest is self-organization network. Thesis includes Matlab´s program which can be used for parameterization of any database. Data are classified by self-organization network after

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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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Abadi, Mehdi. "Réalisation d'un réseau de neurones "SOM" sur une architecture matérielle adaptable et extensible à base de réseaux sur puce "NoC"." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0068/document.

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Depuis son introduction en 1982, la carte auto-organisatrice de Kohonen (Self-Organizing Map : SOM) a prouvé ses capacités de classification et visualisation des données multidimensionnelles dans différents domaines d’application. Les implémentations matérielles de la carte SOM, en exploitant le taux de parallélisme élevé de l’algorithme de Kohonen, permettent d’augmenter les performances de ce modèle neuronal souvent au détriment de la flexibilité. D’autre part, la flexibilité est offerte par les implémentations logicielles qui quant à elles ne sont pas adaptées pour les applications temps ré

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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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Correia, Mauro Vicentini. "Redes neurais e algoritmos genéticos no estudo quimiossistemático da família Asteraceae." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/46/46135/tde-12082013-153222/.

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No presente trabalho duas metodologias da área de inteligência artificial (Redes Neurais e Algoritmos Genéticos) foram utilizadas para realizar um estudo Quimiossistemático da família Asteraceae. A família Asteraceae é uma das maiores famílias entre as Angiospermas, conta com aproximadamente 24.000 espécies. As espécies da família produzem grande diversidade de metabólitos secundários, entre os quais merecem destaque os terpenóides, poliacetilenos, flavonóides e cumarinas. Para um melhor entendimento da diversidade química da família construiu-se um Banco de Dados com as ocorrências de doze cl

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Abadi, Mehdi. "Réalisation d'un réseau de neurones "SOM" sur une architecture matérielle adaptable et extensible à base de réseaux sur puce "NoC"." Electronic Thesis or Diss., Université de Lorraine, 2018. http://www.theses.fr/2018LORR0068.

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Depuis son introduction en 1982, la carte auto-organisatrice de Kohonen (Self-Organizing Map : SOM) a prouvé ses capacités de classification et visualisation des données multidimensionnelles dans différents domaines d’application. Les implémentations matérielles de la carte SOM, en exploitant le taux de parallélisme élevé de l’algorithme de Kohonen, permettent d’augmenter les performances de ce modèle neuronal souvent au détriment de la flexibilité. D’autre part, la flexibilité est offerte par les implémentations logicielles qui quant à elles ne sont pas adaptées pour les applications temps ré

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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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El, Hourany Roy. "Télédétection du phytoplancton par méthode neuronale : du global au régional, de la composition pigmentaire aux biorégions." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS095.

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Cette thèse présente une approche novatrice d’analyse et d’observation de la structure de la communauté de phytoplancton à l'échelle mondiale et régionale à l'aide de données satellitaires (couleur de l‘océan et température de surface) et d'observations in-situ. L'approche est basée sur des méthodes neuronales de classification, telles que les cartes auto-organisatrices (SOM) calibrées sur une grande base de données globale formée de mesures satellitaires collocalisées avec des mesures in-situ. Nous avons d’abord développé une méthode d’estimation des pigments phytoplanctoniques secondaires ap

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Júnior, José Valdemir dos Reis. "Sistemas inteligentes aplicados às redes ópticas passivas com acesso múltiplo por divisão de código OCDMA-PON." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18155/tde-04082016-142530/.

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As redes ópticas passivas (PON), em virtude da oferta de maior largura de banda a custos relativamente baixos, vêm se destacando como possível candidata para suprir a demanda dos novos serviços como, tráfego de voz, vídeo, dados e de serviços móveis, exigidos pelos usuários finais. Uma importante candidata, para realizar o controle de acesso nas PONs, é a técnica de acesso múltiplo por divisão de código óptico (OCDMA), por apresentar características relevantes, como maior segurança e capacidade flexível sob demanda. No entanto, agentes físicos externos, como as variações de temperatura ambient

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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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Prokopetc, Kristina. "Precise Mapping for Retinal Photocoagulation in SLIM (Slit-Lamp Image Mosaicing)." Thesis, Université Clermont Auvergne‎ (2017-2020), 2017. http://www.theses.fr/2017CLFAC093/document.

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Cette thèse est issue d’un accord CIFRE entre le groupe de recherche EnCoV de l’Université Clermont Auvergne et la société Quantel Medical (www.quantel-medical.fr). Quantel Medical est une entreprise spécialisée dans le développement innovant des ultrasons et des produits laser en ophtalmologie. Cette thèse présente un travail de recherche visant à l’application du diagnostic assisté par ordinateur et du traitement des maladies de la rétine avec une utilisation du prototype industriel TrackScan développé par Quantel Medical. Plus précisément, elle contribue au problème du mosaicing précis de l

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Narmack, Kirilll. "Dynamic Speed Adaptation for Curves using Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233545.

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The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. This degree project provides a data driven solution for a speed adaptation system that can be used to compute a vehicle speed for curves, suitable for the underlying driving style of the driver, road properties and weather conditions. A speed adaptation system for curves aims to compute a vehicle speed suitable for curves that can be used in Advanced Driver Assistance Systems (ADAS) or in Autonomous Driving (AD) applications. This degree

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Lu, Yung-Feng, and 盧永豐. "A Self-Organizing HCMAC neural network Classifier." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/84315778717111701771.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>88<br>A self-organizing HCMAC (Hierarchical Cerebellar Model Arithmetic Computer) neural network classifier which contains a self-organizing input space module and hierarchical CMAC neural network is presented in this thesis. The conventional CMAC can be viewed as kind of basis function networks (BFN) and is useful in two aspects: one is its fast learning speed, and the other is it has a good local generalization capability for approximating nonlinear functions. However, the conventional CMAC needs huge memory requirement, and its performance is highly depended on

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Lin, Wen-Yang, and 林文揚. "A Self-Organizing Fuzzy Rule-Based Neural Network." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/13240710955983335036.

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碩士<br>國立中興大學<br>電機工程學系所<br>96<br>This thesis proposes a new fuzzy neural network, the Self-Organizing Fuzzy Rule -Based Neural Network (SOFRBNN). Based on Takagi-Sugeno-Kang (TSK) type fuzzy rules, the network consists of two parts, the antecedent and the consequent parts. A Kalmam filer trained Neural Network (KFNN) constitutes the consequent part of each rule, where a KFNN comprises three layers. There are no rules in SOFRBNN initially as rules are on-line generated according to training data. Once a new rule is generated, a new KFNN is generated accordingly in the consequent part. For KFNN

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Chou, De-Yi, and 周德毅. "Classification of Sleep Stages Using Self-Organizing Neural Network." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/11496318734951199606.

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碩士<br>逢甲大學<br>自動控制工程所<br>97<br>The commonly used method to a sleep specialist for sleep stage classification is to apply visual inspection. This is a very time consuming and laborious task. Automatic sleep stage classification becomes necessary to facilitate this visual inspection process. In this study, a self-organizing neural network-adaptive resonance theory (ART) is presented to classify the sleep stage. To this aim, 23 subjects are recruited from Cheng-Ching General Hospital, Taichung, Taiwan, for this experiment. Among them are healthy adults (13 men, 10 women) with a mean age of 21.47±

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Own, Chung-Ming, and 翁仲銘. "Self-Organizing Learning Multilevel Neural Network On Information Retrieval." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/12038236670552741580.

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碩士<br>國立雲林科技大學<br>資訊管理技術研究所<br>85<br>How to access information effectively in internet challenges us the development of future technologies. In internet, appropriate keywords provided by information inquirer would help narrowing down searching scope. Moreover, to provide appropriate information, information manager has to identify differences among inquiries from limited information provided by users. The objective of this paper is to construct a selforganizing learning multilevel neural network for information retrieval. That is, through self-organizing learning, it is on the one hand as a to

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Lin, Cheng-Yi, and 林政儀. "Real-time Video Surveillance Using Fuzzy Self-Organizing Neural Network." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/7t7h53.

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碩士<br>國立中央大學<br>資訊工程研究所<br>94<br>The developing of a computer-based monitoring system is an effective approach to monitor the space with less man power. An intelligent program could provide not only the recording function but also the prediction of abnormal activities. Trajectory feature was proven to be an effective feature for detecting the abnormal activities. However, the moving trajectories of objects should be pre-defined in traditional approaches. Since the monitoring scenes were varied widely, pre-defined trajectories are not available for all scenes. In this thesis, the video data wit

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Chang, Jia-Wei, and 張嘉偉. "Using Self-Organizing Neural Network for Wafer Defect Inspection System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/23024435095792399504.

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碩士<br>國立雲林科技大學<br>資訊工程研究所<br>93<br>The objective of this thesis is to develop a self-organizing neural network-based automatic system for wafer defect inspection. The good yield ratio is a significant factor for IC fabrication. Therefore, wafer defect inspection is an important process before die packaging. The defective regions are usually identified through visual judgment with the aid of a scanning electron microscope. Dozens of people visually check wafers and hand-mark their defective regions. By this means, potential misjudgment may be introduced due to human fatigue. In addition, the

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Chen, Cheng-Hung, and 陳政宏. "A Self-Organizing Quantum Neural Fuzzy Network for Classification Applications." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/4h2vbk.

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碩士<br>朝陽科技大學<br>資訊工程系碩士班<br>92<br>In this thesis, a quantum neural fuzzy network (QNFN) for classification applications is proposed. The QNFN model is a four-layer structure. Layer 2 of the QNFN model contains quantum membership functions, which are multilevel activation functions. Each quantum membership function is composed of the sum of sigmoid functions shifted by quantum intervals. A self-organizing learning algorithm, which consists of the self-clustering algorithm (SCA) and the backpropagation algorithm, is also proposed. The proposed the SCA method is a fast, one-pass algorithm for a d

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Kuo, Tai-Jung, and 郭泰榕. "The Application of Self-Organizing Neural Network on Detection of Mammography." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/24195336928767540008.

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碩士<br>國立臺灣師範大學<br>機電科技研究所<br>95<br>The progress of medical imaging technologies, from X-ray radiography, ultrasonic sonography to modern age's Magnetic resonance imaging (MRI) and Computed Axial Tomography (CT/CAT) scan has helped the advance of the medical technology as well as the improvement of medical care quality all over the world. However, in Taiwan, the state of art of such technologies are still far behind those of advanced nations. All important medical tools and instruments still rely heavily on the import from other countries, such as Japan and United States. For example, NMR spe

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Wu, Yu-Chi, and 吳育奇. "Self-Organizing Feature Map Fuzzy-Neural Network for Stream Flow Estimation." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/08224274259738470499.

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碩士<br>國立臺灣大學<br>農業工程學研究所<br>88<br>This research presents a fuzzy Artificial Neural Network model for streamflow estimation. The fuzzy-neural network is constructed by the Self-Organizing (Feature) Map (SOM) and the fuzzy control. The “feature maps” can often effectively be used for preprocessing of patterns of historical data for their recognition, while a fuzzy-control predictor is on the basis of the extracted rules in it’s predicting part. In this study, the neural network is employed to estimate the streamflow of the Da-Chia River, in central Taiwan, by using previous stages’ up

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HUANG, WEI LING, and 黃偉綾. "Development of an Ant-Based Growing Self-Organizing Map Neural Network." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/18030470427332588763.

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碩士<br>華梵大學<br>工業工程與經營資訊學系碩士班<br>96<br>Kohonen’s Self-Organizing Maps network (SOM) has been regarded as an effective analysis of data mining tools. The principle of the conventional SOM to determine the best matching unit (BMU) relies on the distance between the input vector and the weight vector of each topological neuron. To improve the Ant-Based Self-Organizing Map algorithm (ABSOM), this research proposes an Ant-Based Growing Self-Organizing Map (AGSOM) algorithm, which adopts the exploitation and exploration rules of the Ant Colony Optimization (ACO) to determine the BMU. In AGSOM, the ro

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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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CHENG-HSUN, LU, and 呂承勳. "Self-Organizing Fuzzy Radial Basis-Function Neural-Network Controller for Robotic Systems." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/35094652486239930551.

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碩士<br>華夏科技大學<br>智慧型機器人研究所<br>105<br>This study developed intelligent controllers for the control of robotic systems. The application of model based classical control theories needs accurate system’s mathematical model for the design of controllers. However, the mathematical mod- els of robotic systems with nonlinearities and dynamic uncertain characteristics are difficult to establish or estimate accurately. This study proposed model-free in- telligent control strategies to control robotic systems. The theoretical analysis and simulation for the control of a robotic system was performed to ver

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Sung, Shu-Chen, and 宋淑珍. "Multivariable Analysis and Self-Organizing Map Neural Network In Clustering Taiwan Electronic Companies." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/67073234541074884203.

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碩士<br>國立高雄第一科技大學<br>風險管理與保險所<br>91<br>With the evolution of the Internet, access to massive amounts of financial data is widespread. Analyzing financial performance in today’s information-rich society can be a hard work. Managers and stakeholders are in need of a data mining tool allow them to quickly and accurately analyze the data. In this study, multivariable analysis and self-organizing map are performed to cluster Taiwan forty-five electronic companies. The purpose of this study is to explore the financial characteristics and analyze the financial structures. This study shows that the met

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Jheng, Siang-jhih, and 鄭翔之. "The Development of an Enhanced Ant-Based Self-Organizing Feature Map Neural Network." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/28728661571043610217.

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碩士<br>華梵大學<br>工業工程與經營資訊學系碩士班<br>96<br>This research is to improve the previous research model, “Ant-Based Self-Organizing feature Map(ABSOM) Neural Network”, to combine the K-Means into a two-stage clustering method, and further to evaluate the performance of the method using some public databases. The ABSOM utilizes the pheromone mechanism of ant colony system to memorize the historical process of the best matching units(BMU) selected and adopts the exploitation and exploration state transition rules of the Ant Colony System(ACS). However, the selection of the BMU in the whole algorithm mainl

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Tsai, Chien-Hsiang, and 蔡健詳. "Applying Self-Organizing Neural Network Model to Assessing the Risk ofPolicy Early Termination." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/38991633682268169812.

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碩士<br>國立高雄第一科技大學<br>風險管理與保險所<br>94<br>ABSTRACT "Elder time life insurance policy extends the insurance premium" is the life insurance company important management target, said to the life insurance company, each contract first year institute bears the cost, including raises dials disbursement sum total and so on the reserve fund, business expense and commission is higher than the insurance premium income, In other words, the new contract chit manages in the first year speaking of the life insurance company is the loss, if client namely terminates an agreement in the second year, to the life in

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WU, HWAI-EN, and 吳懷恩. "A feature-map oriented learning rule for the kohonen's self-organizing neural network." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/90264949515192957541.

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Yuan-FengChien and 簡源鋒. "Self-Organizing Map Neural Network-Based Auto-Focus System for Automatic Optical Inspection." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/64862700265970180525.

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碩士<br>國立成功大學<br>資訊工程學系<br>103<br>A passive auto-focus system is proposed in this dissertation based on Self-Organizing Map Neural Network (SOM NN) for automatic optical inspections (AOI). Image data are collected to build sharpness value curves. From the curves, training samples for SOMNN are determined. An inner-cluster model is built regarding the training samples. Based on the model, candidate of the focused position on the object are predicted. Then using Percentage Drop Search to search the best focused position. By using different focus search methods, the number of searches, a speed of

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Lin, Kao-Chi, and 林高吉. "Feature Extraction and Application via Self-Organizing Map Neural Network with Operating Preprocess." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/61960300601010668325.

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碩士<br>嶺東科技大學<br>資訊科技應用研究所<br>95<br>This dissertation mainly investigates feature extraction and application via self-organizing map (SOM) neural network with operating preprocess. Adopting SOM neural network for given samples, we can obtain a geometric map of the trained neurons with its resemblance. Then, for a group of test samples, the trained neurons are applied for clustering or classifying. The image patterns of number and English characters are used as our experiment’s input samples. First, they are transform to binary bitmap with a given threshold value. From the proposed SOM neural ne

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Li, Chi-Chung, and 李紀忠. "The Development and Application of a Three-Layered Self-Organizing Map Neural Network." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/83712634870771736259.

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碩士<br>華梵大學<br>工業管理學系碩士班<br>90<br>In today’s commercial activities, holding the effective information through information technology and the internet becomes a very important symptom to judge if the enterprise has business competitive strengths. It used to be not so easy to collect information in the past time. Also, it took a long time and spent a high cost to get some part of useful data. With the continuous improvement of information technology nowadays, how to mine out useful information from a huge database for problem solving or making correct decisions by enterprise or individual has

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Cheng, Chia-Hsin, and 程家信. "The Modified Self-Organizing Map Neural Network Applied To The Discrete Data Clustering." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/49178195999772138393.

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碩士<br>國立中正大學<br>數學研究所<br>100<br>The purpose of this paper is to solve the shortcomings of the novel self-organizing map neural network. For example: 1. Data and category are in large differences in nature. 2. Some of the data are without attribution . Therefore, this paper presents a method to remove unused categories and to add new categories for those un-attribution data . The method not only narrows the differences in the nature between data and categories , but also enables all data attribution .

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Yang, Zhi-Ting, and 楊之廷. "Application of Hybrid Self-organizing Fuzzy and Radial Basis-function Neural-network Controller." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/5xz46b.

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碩士<br>國立臺北科技大學<br>機電整合研究所<br>97<br>A self-organizing fuzzy controller (SOFC) has been proposed for control engineering applications. During the control process, it continually updates the learning strategy in the form of fuzzy rules, beginning with empty fuzzy rules, to eliminate the difficulty of finding appropriate membership functions and fuzzy rules when using a fuzzy logic controller. However, it is intricate to select appropriate parameters for both the learning rate and weighting distribution in the SOFC for control engineering applications. This study developed a hybrid self-organizing

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