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Thèses sur le sujet « Hopfield Neural Networks »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 26 juillet 2025

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1

Tseng, Hung-Li. "Computational Complexity of Hopfield Networks." Thesis, University of North Texas, 1998. https://digital.library.unt.edu/ark:/67531/metadc278272/.

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There are three main results in this dissertation. They are PLS-completeness of discrete Hopfield network convergence with eight different restrictions, (degree 3, bipartite and degree 3, 8-neighbor mesh, dual of the knight's graph, hypercube, butterfly, cube-connected cycles and shuffle-exchange), exponential convergence behavior of discrete Hopfield network, and simulation of Turing machines by discrete Hopfield Network.

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2

Brouwer, Roelof K. "Pattern recognition using a generalised discrete Hopfield network." Thesis, University of Warwick, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307974.

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3

Garcia, Garcia Núria 1958. "Radio Resource Management strategies based hopfield neural networks." Doctoral thesis, Universitat Pompeu Fabra, 2009. http://hdl.handle.net/10803/7556.

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Esta tesis doctoral se enmarca en la temática de Gestion de Recursos Radioelectricos en los sistemas de comunicaciones móviles, 3G, B3G y 4G. Como es ampliamente conocido los recursos radios son escasos, particularmente en los sistemas de comunicaciones móviles celulares, y en consecuencia es de uso obligado una gestión eficiente de los mismos. Desde un punto de vista práctico si bien estos sistemas se basan en el uso de tecnologías de acceso radio estandarizada, no es este el caso para los algoritmos subyacentes a la gestión de los recursos radio, de manera que siempre son posibles nuevas r

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4

Smeda, Adel Abdullah. "Application of the Hopfield neural network in routing for computer networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ39701.pdf.

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5

Barron, Kenneth Falconer. "Optics in Hopfield content addressable memories." Thesis, Heriot-Watt University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335137.

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6

Riesenberg, John R. "CATASTROPHIC FORGETTING IN NEURAL NETWORKS." University of Cincinnati / OhioLINK, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=ucin976117376.

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7

Cheng, Chih Kang. "Hardware implementation of the complex Hopfield neural network." CSUSB ScholarWorks, 1995. https://scholarworks.lib.csusb.edu/etd-project/1016.

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8

Valiveti, Natana Carleton University Dissertation Computer Science. "Parallel computational geometry on Analog Hopfield Networks." Ottawa, 1992.

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9

Halabian, Faezeh. "An Enhanced Learning for Restricted Hopfield Networks." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42271.

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This research investigates developing a training method for Restricted Hopfield Network (RHN) which is a subcategory of Hopfield Networks. Hopfield Networks are recurrent neural networks proposed in 1982 by John Hopfield. They are useful for different applications such as pattern restoration, pattern completion/generalization, and pattern association. In this study, we propose an enhanced training method for RHN which not only improves the convergence of the training sub-routine, but also is shown to enhance the learning capability of the network. Particularly, after describing the architectur

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10

Martínez, Marrodán Diego. "Automatic Scheduling for schools : Scalability of the Hopfield Neural Networks." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166589.

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This project is focused on evaluating, in terms of real time needed to find a solution, the scalability of Hopfield Neural Networks, a Machine Learning method, applied to a common problem that every educational institution has to deal with at least once in every academic year, timetabling. With this purpose, the problem is first introduced. And secondly, in the background, the concept of "constraint" is presented, to continue with a brief explanation of Artificial Neural Networks, the state of the art and more specifically, how Hopfield Neural Networks are characterized. The formulation, modif

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11

Sousa, Fabiano Berardo de. "Análise de modelo de Hopfield com topologia de rede complexa." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30012014-111520/.

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Redes neurais biológicas contêm bilhões de células (neurônios) agrupadas em regiões espacial e funcionalmente distintas. Elas também apresentam comportamentos complexos, tais como dinâmicas periódicas e caóticas. Na área da Inteligência Artificial, pesquisas mostram que Redes Neurais Caóticas, isto é, modelos de Redes Neurais Artificiais que operam com dinâmicas complexas, são mais eficientes do que modelos tradicionais no que diz respeito a evitar memórias espúrias. Inspirado pelo fato de que o córtex cerebral contém agrupamentos de células e motivado pela eficiência no uso de dinâmicas compl

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12

Luo, Dexiang. "Occluded object discrimination by a modified Hopfield neural network." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0020/MQ55520.pdf.

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13

McCallum, Simon, and n/a. "Catastrophic forgetting and the pseudorehearsal solution in Hopfield networks." University of Otago. Department of Computer Sciences, 2007. http://adt.otago.ac.nz./public/adt-NZDU20080130.105101.

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Most artificial neural networks suffer from the problem of catastrophic forgetting, where previously learnt information is suddenly and completely lost when new information is learnt. Memory in real neural systems does not appear to suffer from this unusual behaviour. In this thesis we discuss the problem of catastrophic forgetting in Hopfield networks, and investigate various potential solutions. We extend the pseudorehearsal solution of Robins (1995) enabling it to work in this attractor network, and compare the results with the unlearning procedure proposed by Crick and Mitchison (1983). We

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14

Bireddy, Chakradhar. "Hopfield Networks as an Error Correcting Technique for Speech Recognition." Thesis, University of North Texas, 2004. https://digital.library.unt.edu/ark:/67531/metadc5551/.

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I experimented with Hopfield networks in the context of a voice-based, query-answering system. Hopfield networks are used to store and retrieve patterns. I used this technique to store queries represented as natural language sentences and I evaluated the accuracy of the technique for error correction in a spoken question-answering dialog between a computer and a user. I show that the use of an auto-associative Hopfield network helps make the speech recognition system more fault tolerant. I also looked at the available encoding schemes to convert a natural language sentence into a pattern of ze

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15

Storkey, Amos James. "Efficient covariance matrix methods for Bayesian Gaussian processes and Hopfield neural networks." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313335.

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16

Corrêa, Leonardo Garcia. "Memória associativa em redes neurais realimentadas." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06122004-115632/.

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Nessa dissertação, é investigado o armazenamento e a recuperação de padrões de forma biologicamente inspirada no cérebro. Os modelos estudados consistiram de redes neurais realimentadas, que tentam modelar certos aspectos dinâmicos do funcionamento do cérebro. Em particular, atenção especial foi dada às Redes Neurais Celulares, que constituem uma versão localmente acoplada do já clássico modelo de Hopfield. Além da análise de estabilidade das redes consideradas, foi realizado um teste com o intuito de avaliar o desempenho de diversos métodos de construção de memórias endereçáveis por

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17

KAIMAL, VINOD GOPALKRISHNA. "A NEURAL METHOD OF COMPUTING OPTICAL FLOW BASED ON GEOMETRIC CONSTRAINTS." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1037632137.

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18

Banks, Jess M. "Chaos and Learning in Discrete-Time Neural Networks." Oberlin College Honors Theses / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1445945609.

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19

Piasko, Jacques Marc. "Neural networks : a mathematical analysis of the Hopfield model and a model for the neural integrator of the oculomotor system /." Zürich, 1989. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=8914.

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20

ZOPPO, GIANLUCA. "Dynamic Neural Networks and Brain-inspired Computing." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2971123.

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21

Balavoine, Aurèle. "Implementation of the locally competitive algorithm on a field programmable analog array." Thesis, Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/37255.

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Sparse approximation is an important class of optimization problem in signal and image processing applications. This thesis presents an analog solution to this problem, based on the Locally Competitive Algorithm (LCA). A Hopfield-Network-like analog system, operating on sub-threshold currents is proposed as a solution. The results of the circuit components' implementation on the RASP2.8a chip, a Field Programmable Analog Array, are presented.

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22

Shishani, Basel. "Segmentation of connected text using constrained neural networks." Thesis, Queensland University of Technology, 1997.

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23

Calabuig, Soler Daniel. "Common Radio Resource Management Strategies for Quality of Service Support in Heterogeneous Wireless Networks." Doctoral thesis, Universitat Politècnica de València, 2010. http://hdl.handle.net/10251/7348.

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Hoy en día existen varias tecnologías que coexisten en una misma zona formando un sistema heterogéneo. Además, este hecho se espera que se vuelva más acentuado con todas las nuevas tecnologías que se están estandarizando actualmente. Hasta ahora, generalmente son los usuarios los que eligen la tecnología a la que se van a conectar, ya sea configurando sus terminales o usando terminales distintos. Sin embargo, esta solución es incapaz de aprovechar al máximo todos los recursos. Para ello es necesario un nuevo conjunto de estrategias. Estas estrategias deben gestionar los recursos radioeléctrico

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24

Li, Jiakai. "AI-WSN: Adaptive and Intelligent Wireless Sensor Networks." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341258416.

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25

González, Marek. "Fuzzy neuronové sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234941.

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This thesis focuses on fuzzy neural networks. The combination of the fuzzy logic and artificial neural networks leads to the development of more robust systems. These systems are used in various field of the research, such as artificial intelligence, machine learning and control theory. First, we provide a quick overview of underlying neural networks and fuzzy systems to explain fundamental ideas that form the basis of the fields, and follow with the introduction of the fuzzy neural network theory, classification and application. Then we describe a design and a realization of the fuzzy associa

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26

Breese, Amanda Jane. "Optics, optimisation and the Hopfield neural network." Thesis, University of Reading, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303131.

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27

Marashdeh, Qussai Mohammad. "Advances in electrical capacitance tomography." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1148591259.

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28

Borundiya, Amit Parasmal. "Implementation of Hopfield Neural Network Using Double Gate MOSFET." Ohio University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1204910134.

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29

Calmese, Ife D. "The proteretic Hopfield neural network analog to digital converter /." Available to subscribers only, 2008. http://proquest.umi.com/pqdweb?did=1674094131&sid=4&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Thesis (Ph. D.)--Southern Illinois University Carbondale, 2008.<br>"Department of Electrical and Computer Engineering." Keywords: Hopfield neural network, Analog to digital converter. Includes bibliographical references (p. 47-48). Also available online.

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Calmese, Ife. "The Proteretic Hopfield Neural Network Analog to Digital Converter." OpenSIUC, 2008. https://opensiuc.lib.siu.edu/dissertations/255.

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The Hopfield neuron with predictive hysteresis is proposed and the efficiency of employing these neurons in analog to digital conversion, via the Hopfield Neural Network, will be demonstrated. Traditional hysteresis is defined, generally, as the occurrence of a delayed effect when forces acting on an object are varied. It will be shown that predictive hysteresis, a type of reverse hysteresis, improves upon the speed of hysteretic and non hysteretic systems without compromising the accuracy.

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31

Wang, Ziqing. "Fuzzy neural network for edge detection and Hopfield network for edge enhancement." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0005/MQ42458.pdf.

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32

Novák, David. "Optimalizace přenosu hlasu v komunikačních sítích." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218340.

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This master’s thesis deals abou the transmission of voice in communications networks. The theoretical part describes criteria for optimizing voice, such as quality of service, type of service, level of service, service type, and mean opinion score. Next I describe the Internet Protocol, comparing IPv4 and IPv6, VoIP, including security, protocols and parameters necessary for transmission. Other part is about neural networks. There are basically described the neural network, Hopfield neural network and Kohenen neural network. The research is based on a comparison of the network without ensuring

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33

Akbar, Shahzad. "Vibration design by means of structural modification." Thesis, Brunel University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263499.

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34

Nguyen, Quang Minh. "Super-resolution mapping using the Hopfield neural network with supplementary data." Thesis, University of Southampton, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437885.

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35

Meins, Nils [Verfasser], and Stefan [Akademischer Betreuer] Wermter. "Diversity-driven Hopfield Neural Network Ensembles for Face Detection / Nils Meins ; Betreuer: Stefan Wermter." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2019. http://d-nb.info/1192442679/34.

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36

Tatem, Andrew. "Super-resolution land cover mapping from remotely sensed imagery using a Hopfield neural network." Thesis, University of Southampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395911.

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37

Cote, Stephane. "Measurement of sea-surface velocities from satellite sensor images using the Hopfield neural network." Thesis, University of Southampton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242549.

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38

Lindblad, Maria. "A Comparison of a Heuristic and a Hopfield Neural Network Approach for Solving Examination Timetabling Problems." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255266.

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The Examination Timetabling Problem (ETP) is the problem of scheduling a number of exams during a set time period so that no students are required to sit two exams simultaneously. Despite the complexity of the problem, universities all over the world solve ETPs several times each year. Two known methods for solving ETPs is using either heuristics or Hopfield Neural Networks (HNN). This thesis compares the performance of a heuristic algorithm implemented with Local Search, Simulated Annealing and Tabu Search to the performance of a HNN algorithm. Both algorithms were executed on ten different E

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39

Ould, Mohamed Abdallahi Lémine. "Estimation des paramètres d'un modèle d'activité neuronale et applications de la théorie du champ moyen." Université Joseph Fourier (Grenoble), 2001. http://www.theses.fr/2001GRE10075.

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Ce travail porte sur quelques applications de la théorie du champ moyen en statistique. Dans le chapitre 1 nous nous intéressons à la modélisation de l'activité neuronale. Nous introduisons un modèle qui décrit cette activité à l'aide d'une dynamique markovienne. Le modèle introduit s'inscrit dans le formalisme des systèmes de particules. L'approche utilisée provient de la mécanique statistique et s'inspire fortement de la théorie du champ moyen. Dans le chapitre 2, nous nous intéressons à l'estimation des paramètres du modèle à partir d'observations de l'état stationnaire. Nous proposons diff

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40

Pinheiro, Rafael Fernandes. "O problema de Lurie e aplicações às redes neurais." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/45/45132/tde-25042015-223201/.

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Neste trabalho apresentamos um assunto que tem contribuído em diversas áreas, o conhecido Problemas de Lurie. Para exemplificar sua aplicabilidade estudamos a Rede Neural de Hopfield e a relacionamos com o problema. Alguns teoremas são apresentados e um dos resultados do Problema de Lurie é aplicado ao modelo de Hopfield.<br>In the present work we show some properties of the so called Luries type equation. We treat particularly the stability conditions problem, and show how this theory is applied in a Hopfield neural network.

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41

Štafa, Václav. "Modelování síťového prvku pomocí logického pole." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-375491.

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This Master’s Thesis includes introduction the field programmable logic and their NetFPGA platform developed in the context of its use for routing using neural networks. Current routing protocols and routing methods. Furthermore, the issue of neural networks with a focus on the Hopfield network for data network routing.

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Stískal, Břetislav. "Návrh algoritmů pro neuronové sítě řídicí síťový prvek." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217527.

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This diploma thesis is devided into theoretic and practice parts. Theoretic part contains basic information about history and development of Artificial Neural Networks (ANN) from last century till present. Prove of the theoretic section is discussed in the practice part, for example learning, training each types of topology of artificial neural networks on some specifics works. Simulation of this networks and then describing results. Aim of thesis is simulation of the active networks element controlling by artificial neural networks. It means learning, training and simulation of designed neura

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Torzynski, Marc. "Reseaux de neurones formels : proprietes du modele de hopfield, realisations electroniques et optiques." Université Louis Pasteur (Strasbourg) (1971-2008), 1988. http://www.theses.fr/1988STR13230.

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On etudie un modele neuro-mimetique de traitement d'information, susceptible d'etre utilise comme une memoire associative. En premiere partie, on etudie les proprietes du modele et l'on quantifie la capacite memoire. Par simulation numerique, la tolerance du reseau a ses propres deficiences et ses facultes d'associativite. On montre theoriquement plusieurs points relatifs a l'information a l'aide d'une approche probabiliste du modele. En seconde partie, on etudie les possibilites d'implantation du modele

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44

Frasca, M. "GRAPH-BASED APPROACHES FOR IMBALANCED DATA IN FUNCTIONAL GENOMICS." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/172445.

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The Gene Function Prediction (GFP) problem consists in inferring biological properties for the genes whose function is unknown or only partially known, and raises challenging issues from both a machine learning and a computational biology standpoint. The GFP problem can be formalized as a semi-supervised learning problem in an undirected graph. Indeed, given a graph with a partial graph labeling, where nodes represent genes, edges functional relationships between genes, and labels their membership to functional classes, GFP consists in inferring the unknown functional classes of genes, by

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45

Zedníček, Petr. "Síťový prvek s pokročilým řízením." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218333.

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The diploma thesis deal with finding and testing neural networks, whose characteristics and parameters suitable for the active management of network element. Solves optimization task priority switching of data units from input to output. Work is focused largely on the use of Hopfield and Kohonen networks and their optimization. Result of this work are two models. The first theory is solved in Matlab, where each comparing the theoretical results of neural networks. The second model is a realistic model of the active element designed in Simulink

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46

Fajčík, Martin. "Automatizace verifikace pomocí neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363776.

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The goal of this thesis is to analyze and to find solutions of optimization problems derived from automation of functional verification of hardware using artificial neural networks. Verification of any integrated circuit (so called Design Under Verification, DUV) using technique called coverage-driven verification and universal verification methodology (UVM) is carried out by sending stimuli inputs into DUV. The verification environment continuously monitors percentual coverage of DUV functionality given by the specification. In current context, coverage stands for measurable property of DUV,

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47

Šulák, Michal. "Aplikace neuronových sítí v telekomunikacích." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217313.

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This Master’s Thesis consists of description of current routing protocols and routers, basic principles of neural networks and their interpretation in connection with the use for routing in data networks and telecommunications networks. In the thesis I focused on neural networks, which use energetic functions to find solution stabled states and their use for data routing. I produced the application software to test and find suitable variables for each function. This application counts the shortest path and is able to change variables to reach the best solution of stabled state of neural networ

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48

Pokorný, Petr. "Návrh síťového prvku pomocí neuronové sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2008. http://www.nusl.cz/ntk/nusl-228226.

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The diploma thesis deal with a priority network switch whose model was made in programming environment Matlab - Simulink. Problem of optimal switching is solved by Hopfield’s artificial neural network. Produce of the diploma thesis is a model of packet switch and time-severity comparison of optimalization problem solved with or without artificial neural network. The thesis was developed in research project MSM 0021630529 Intelligent Systems in Automation.

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49

"Feature matching by Hopfield type neural networks." 2002. http://library.cuhk.edu.hk/record=b6073412.

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Li Wenjing.<br>"April 2002."<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 2002.<br>Includes bibliographical references (p. 155-167).<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Mode of access: World Wide Web.<br>Abstracts in English and Chinese.

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50

"Radio Resource Management strategies based hopfield neural networks." Universitat Pompeu Fabra, 2009. http://www.tesisenxarxa.net/TDX-0612109-184854/.

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