Master's Dissertation
DOI
https://doi.org/10.11606/D.55.2004.tde-06122004-115632
Document
Author
Full name
Leonardo Garcia Corrêa
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2004
Supervisor
Committee
Carvalho, André Carlos Ponce de Leon Ferreira de (President)
Alberto, Luís Fernando Costa
Delbem, Alexandre Cláudio Botazzo
Title in Portuguese
Memória associativa em redes neurais realimentadas
Keywords in Portuguese
análise não-linear
memória associativa
rede de hopfield
redes neurais
redes neurais celulares
Abstract in Portuguese
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 conteúdo (memórias associativas) em Redes Neurais
Celulares.
Title in English
Associative memory in feedback neural networks
Keywords in English
associative memory
cellular neural networks
hopfield network
neural networks
nonlinear analysis
Abstract in English
In this dissertation we investigate biologically inspired models
of pattern storage and retrieval, by means of feedback neural
networks. These networks try to model some of the dynamical
aspects of brain functioning. The study concentrated in Cellular
Neural Networks, a local coupled version of the classical Hopfield
model. The research comprised stability analysis of the referred
networks, as well as performance tests of various methods for
content-addressable (associative) memory design in Cellular Neural
Networks.
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Publishing Date
2005-06-10