Please use this identifier to cite or link to this item: https://app.uff.br/riuff/handle/1/18934
Title: Redes Neurais Atratoras em Topologias Complexas
Keywords: Rede neural;  Topologia;  Neurociências;  Mecânica estatística
Issue Date: 7-May-2006
Abstract: In this work we present some modifications in the Hopfield model for attractor neural networks. First, in order to bring the model closer to a biological network of neurons, we introduce a controlled dilution generating complex topologies. This modification is supported by experimental evidences [1, 2]. Then, study the relation between eficiency and the topologies, in the recovery stored patterns. We study how the network topology play a role in the model, by introducing correlated patterns and studing the performance of each topology as the correlation between patterns is increased.
URI: https://app.uff.br/riuff/handle/1/18934
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