Presentation	2000/10/14 A Chaos Associative Memory with a Skew-Tent Activation Function Takanori Kozakai, Masahiro Nakagawa,
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Abstract(in English)	In this report, we examine autoassociative model of chaos neural network with a Skew-Tent activation function. We investigated characteristics with respect to the number of neurons. In addition, we utilized the sinusoidal wave function as an activation function, and compared memory retrieval characteristics for two functions. As a result, became although as the neuron increased, memory retrieval characteristics become inefficient, we found that, such a Skew-Tent function becomes more efficient than the sinusoidal wave function.
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Keyword(in English)	associative memory / periodic activation / chaos neural network
Paper #	NLP2000-90
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Conference Information
Committee	NLP
Conference Date	2000/10/14(1days)
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Registration To	Nonlinear Problems (NLP)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	A Chaos Associative Memory with a Skew-Tent Activation Function
Sub Title (in English)
Keyword(1)	associative memory
Keyword(2)	periodic activation
Keyword(3)	chaos neural network
1st Author's Name	Takanori Kozakai
1st Author's Affiliation	Departmetn of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology()
2nd Author's Name	Masahiro Nakagawa
2nd Author's Affiliation	Departmetn of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology
Date	2000/10/14
Paper #	NLP2000-90
Volume (vol)	vol.100
Number (no)	382
Page	pp.pp.-
#Pages	6
Date of Issue