Please use this identifier to cite or link to this item:
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.
Appears in Collections:TEDE sem arquivo

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.