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Paper Abstract and Keywords
Presentation 2005-05-17 15:45
Parameter dependence on performance of ID model for optimization problems
Akari Sato, Yoshihiro Hayakawa, Koji Nakajima (R.I.E.C., Tohoku Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Inverse Function Delayed model used in out reserch has high performance of seaeching answer of optimization problems. Therefore,we reserch parameter dependence on it.
We simulate by using statical answer and dynamical answer,we find it has different parameter dependence each other.
Keyword (in Japanese) (See Japanese page) 
(in English) negative resistance / inverse function / optimization problem / statical answer / dynamical answer / / /  
Reference Info. IEICE Tech. Rep., vol. 105, no. 49, NLP2005-7, pp. 35-39, May 2005.
Paper # NLP2005-7 
Date of Issue 2005-05-10 (NLP) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee NLP  
Conference Date 2005-05-17 - 2005-05-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Yamagata Univ (Yonezawa) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2005-05-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Parameter dependence on performance of ID model for optimization problems 
Sub Title (in English)  
Keyword(1) negative resistance  
Keyword(2) inverse function  
Keyword(3) optimization problem  
Keyword(4) statical answer  
Keyword(5) dynamical answer  
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1st Author's Name Akari Sato  
1st Author's Affiliation R.I.E.C., Tohoku University (R.I.E.C., Tohoku Univ.)
2nd Author's Name Yoshihiro Hayakawa  
2nd Author's Affiliation R.I.E.C., Tohoku University (R.I.E.C., Tohoku Univ.)
3rd Author's Name Koji Nakajima  
3rd Author's Affiliation R.I.E.C., Tohoku University (R.I.E.C., Tohoku Univ.)
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Speaker Author-1 
Date Time 2005-05-17 15:45:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2005-7 
Volume (vol) vol.105 
Number (no) no.49 
Page pp.35-39 
#Pages
Date of Issue 2005-05-10 (NLP) 


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