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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | chaos neuron / periodic mapping / associative memory |
Paper # | NC2010-1,NLP2010-1 |
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Conference Information | |
Committee | NC |
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Conference Date | 2010/6/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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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 |