Presentation 2008-10-14
Study on Periodic Delta-Pseudo-Orbital Generated from Chaos Neural Network : Effect of Initial Condition and Variable Precision
Takeshi Murakami, Hitoaki Yoshida, Satoshi Kawamura,
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Abstract(in English) We have developed chaos neural networks (CNN) and applied to a cryptosystem. This work focuses on a period of deterministic chaos generated with a computer. In this paper, the period and the time until the periodic solution is generated of the CNN are compared with logistic map when an initial value is changed.
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Keyword(in English) chaos / neural network / chaos neural network / logistic map / periodic δ pseudo orbit
Paper # CAS2008-39,NLP2008-51
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Conference Information
Committee NLP
Conference Date 2008/10/7(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study on Periodic Delta-Pseudo-Orbital Generated from Chaos Neural Network : Effect of Initial Condition and Variable Precision
Sub Title (in English)
Keyword(1) chaos
Keyword(2) neural network
Keyword(3) chaos neural network
Keyword(4) logistic map
Keyword(5) periodic δ pseudo orbit
1st Author's Name Takeshi Murakami
1st Author's Affiliation Faculty of Engineering, Iwate University()
2nd Author's Name Hitoaki Yoshida
2nd Author's Affiliation Super Computing and Information Sciences Center Iwate University
3rd Author's Name Satoshi Kawamura
3rd Author's Affiliation Faculty of Science and Engineering, Ishinomaki Senshu University
Date 2008-10-14
Paper # CAS2008-39,NLP2008-51
Volume (vol) vol.108
Number (no) 240
Page pp.pp.-
#Pages 4
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