Fully-Connected Neural Network Model of Associative Memory as a Test Function of Evolutionary Computations
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概要
- 論文の詳細を見る
We apply some variants of evolutionary computations to the fully-connected neural network model of associative memory. Among others, when we regard it as a parameter optimization problem, we notice that the model has some favorable properties as a test function of evolutionary computations. So far, many functions have been proposed for comparative study. However, as Whitley and his colleagues suggested, many of the existing common test functions have some problems in comparing and evaluating evolutionary computations. In this paper, we focus on the possibilities of using the fully-connected neural network model as a test function of evolutionary computations.
- 社団法人電子情報通信学会の論文
- 1999-01-25
著者
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ARAKI Keijiro
Department of Surgery, Kochi Medical School
-
Imada Akira
Graduate School Of Information Science Nara Institute Of Science And Technology
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Araki K
Department Of Computer Science And Computer Engineering Graduate School Of Information Science And E
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Araki Keijiro
Department Of Computer Science And Communication Engineering Graduate School Of Information Science
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