<会議発表論文>
Evolution of Associative Memory with Environmental Change

作成者
本文言語
発行日
出版タイプ
アクセス権
概要 There have been a lot of researches which apply evolutionary techniques to layered neural networks. However, their applications to Hopfield neural networks remain few so far. We have been applying a g...enetic algorithm to fully connected associative memory model of Hopfield, and reported elsewhere that the network can store some number of patterns only by evolving weight matrices with the genetic algorithm. In this paper, we present that evolving both weight matrices and patterns to be stored results in the higher capacity of associative memory than in the case of fixed patterns above. From an Artificial Life perspective, the patterns to be stored are considered to be an environment.続きを見る

本文情報を非表示

evolution-of-associative-memory pdf 151 KB 73  

詳細

レコードID
査読有無
関連情報
主題
注記
タイプ
登録日 2009.04.22
更新日 2017.03.21