Presentation 1997/2/6
An Experimental Study of Minimum Searching Methods using Chaos
Masaya OHTA, Masanori NISHIMURA, Koichi YASUDA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, A new method for minimum searching using chaos has been proposed. The method has been derived from the chaotic neural network. It has been applied for several minimum searching problems with a nonlinear function and experimentally estimated. It has been confirmed that it can search the minimum of several nonlinear functions. Then, it has been applied for the back-propagation algorithm that is one of minimum searching problems.
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Keyword(in English) chaos / neural network / minimum searching / nonlinear function / back-propagation algorithm
Paper # NLP96-135,NC96-89
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Conference Information
Committee NC
Conference Date 1997/2/6(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Experimental Study of Minimum Searching Methods using Chaos
Sub Title (in English)
Keyword(1) chaos
Keyword(2) neural network
Keyword(3) minimum searching
Keyword(4) nonlinear function
Keyword(5) back-propagation algorithm
1st Author's Name Masaya OHTA
1st Author's Affiliation Osaka Electro-Communication University()
2nd Author's Name Masanori NISHIMURA
2nd Author's Affiliation Osaka Electro-Communication University
3rd Author's Name Koichi YASUDA
3rd Author's Affiliation Osaka Electro-Communication University
Date 1997/2/6
Paper # NLP96-135,NC96-89
Volume (vol) vol.96
Number (no) 511
Page pp.pp.-
#Pages 7
Date of Issue