Presentation 2009-10-16
Identifying Generation Models of Time-series including Jump Diffusion Processes by using the Genetic Programming and Multi-stage Fuzzy Inference Systems
Shozo Tokinaga, Yoshinori Kishikwa,
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Abstract(in English) This report deals with identifying generation models of time-series including jump diffusion processes by using the Genetic Programming (GP) and multi-stage fuzzy inference systems. The time series is additively decomposed into three parts, namely, the deterministic parts, jump diffusion parts and Brownian motions. We apply the GP to the deterministic part, and we use the fuzzy inference (multi-stage fuzzy inference) system to detect the parts of jump diffusion. Applications are shown by using simulation studies.
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Keyword(in English) Models of fluctuating time-series / Jump diffusion processes / Genetic Programming / Multi-stage fuzzy inference / System identification
Paper # SIP2009-70,IE2009-95
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Committee IE
Conference Date 2009/10/8(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Identifying Generation Models of Time-series including Jump Diffusion Processes by using the Genetic Programming and Multi-stage Fuzzy Inference Systems
Sub Title (in English)
Keyword(1) Models of fluctuating time-series
Keyword(2) Jump diffusion processes
Keyword(3) Genetic Programming
Keyword(4) Multi-stage fuzzy inference
Keyword(5) System identification
1st Author's Name Shozo Tokinaga
1st Author's Affiliation Graduate School of Economics, Kyushu Univ.()
2nd Author's Name Yoshinori Kishikwa
2nd Author's Affiliation Ube National College of Technology
Date 2009-10-16
Paper # SIP2009-70,IE2009-95
Volume (vol) vol.109
Number (no) 227
Page pp.pp.-
#Pages 6
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