Presentation	1994/12/16 A Study of Chaos Neural Network with a Periodic Activation Function Masahiro Nakagawa,
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Abstract(in English)	In this paper we shall put forward a novel chaos neuron model and investigate the dynamic properties.The present artificial neuron model is defined by such periodic input-output mapping as a sinusoidal function.It is obviously shown that the present neural network has an ability of the retrievals of the embedded pattems in the neuralnetwork beyond the conventional one with such a monotonous mapping as the signum function.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.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	chaos neuron / periodic mapping / associative memory
Paper #	NLP94-74
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Conference Information
Committee	NLP
Conference Date	1994/12/16(1days)
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Paper Information
Registration To	Nonlinear Problems (NLP)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	A Study of Chaos Neural Network with a Periodic 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	1994/12/16
Paper #	NLP94-74
Volume (vol)	vol.94
Number (no)	418
Page	pp.pp.-
#Pages	8
Date of Issue