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Lamarckian Evolution of Associative Memory

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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 Gen...etic Algorithms 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 a simple Genetic Algorithm. In this paper we present that the memory capacity can be enhanced by incorporating Lamarckian inheritance to the Genetic Algorithm.続きを見る

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登録日 2009.04.22
更新日 2017.03.21