A Chaos Associative Memory with a Skew-Tent Activation Function : Cross-Disciplinary Physics
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概要
- 論文の詳細を見る
We find that a chaos neural network (CNN) model with a time-dependent skew-tent activation function shows 〜10-20 times larger memory. capacity than CNN with the sigmoidal activation function. Our model exhibits complete association with a certain noise involved in an input key vector beyond the time-invariant tent model.
- 社団法人日本物理学会の論文
- 2000-03-15
著者
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Nakagawa Masahiro
Department Of Electrical Engineering Faculty Of Engineering Nagaoka University Of Technology
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Nakagawa Masahiro
Deparment Of Electrical Engineering Faculty Of Engineering Nagaoka University Of Technology
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