Presentation 2010/6/11
On the Chaos Associative Memory with Tchebycheff Activation Function
Masahiro NAKAGAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper we shall put forward a novel chaos neuron model and investigate the dynamic properties of memory retrievals. The present artificial neuron model is defined by such periodic input-output mapping as the Tchebycheff function of the second kind. It is apparently shown that the present neural network with a periodic activation function has an ability of the retrievals of the embedded patterns superior than the conventional neural network with such a monotonous mapping. This advantage is considered to be as a result of the nonmonotonous property of the periodic mapping which involves a chaotic behaviour of the neurons. It is also found that the present chaos neuron model has a remarkably larger memory capacity than the conventional association system with the monotonous dynamics. These findings are considered to result from the chaotic dynamics to avoid at an unfavourable spurious states.
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Keyword(in English) chaos neuron / periodic mapping / associative memory
Paper # NC2010-1,NLP2010-1
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Committee NC
Conference Date 2010/6/11(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the Chaos Associative Memory with Tchebycheff Activation Function
Sub Title (in English)
Keyword(1) chaos neuron
Keyword(2) periodic mapping
Keyword(3) associative memory
1st Author's Name Masahiro NAKAGAWA
1st Author's Affiliation Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology()
Date 2010/6/11
Paper # NC2010-1,NLP2010-1
Volume (vol) vol.110
Number (no) 83
Page pp.pp.-
#Pages 6
Date of Issue