Presentation 2003/6/16
A Data Fitting System for High Frequency Dynamical Systems by Genetic Programming, Simulated Annealing, and Adaptive Neuro Fuzzy Inference System
Sulistiyo Sulistiyo, Zensho Nakao, Yen-Wei Chen, Kazunori Matsuo,
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Abstract(in English) There is a new method presented, which combines genetic programming (GP), simulated annealing (SA), and adaptive neuro fuzzy inference system (ANFIS) to make efficient and accurate data fitting for high frequency dynamical systems, even when some sampling data are missing. We combine advantages of GP and SA to get a mathematical model closer to the sampling data, and exploit advantages of ANFIS to minimize the approximation error due to the existence of complicated mathematical expressions.
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Keyword(in English) Genetic Programming / Simulated Annealing / ANFIS / Dynamical Systems
Paper # NLP2003-14
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Committee NLP
Conference Date 2003/6/16(1days)
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Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Data Fitting System for High Frequency Dynamical Systems by Genetic Programming, Simulated Annealing, and Adaptive Neuro Fuzzy Inference System
Sub Title (in English)
Keyword(1) Genetic Programming
Keyword(2) Simulated Annealing
Keyword(3) ANFIS
Keyword(4) Dynamical Systems
1st Author's Name Sulistiyo Sulistiyo
1st Author's Affiliation Faculty of Engineering, University of the Ryukyus()
2nd Author's Name Zensho Nakao
2nd Author's Affiliation Faculty of Engineering, University of the Ryukyus
3rd Author's Name Yen-Wei Chen
3rd Author's Affiliation Faculty of Engineering, University of the Ryukyus
4th Author's Name Kazunori Matsuo
4th Author's Affiliation Faculty of Engineering, University of the Ryukyus
Date 2003/6/16
Paper # NLP2003-14
Volume (vol) vol.103
Number (no) 136
Page pp.pp.-
#Pages 6
Date of Issue