Presentation 2004/9/9
On Modeling of Time Series based on the Genetic Programming and its Application to Clustering
Shozo TOKINAGA, Jianjung LU,
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Abstract(in English) This paper deals with modeling of time series based on the Genetic Programming and its application to clustering. We approximate the model to generate the time series based on the GP so that a simple feature description is available. Since the pool of individuals include a set of expression to model various time series in the same cluster, then the system is robust to time scale expansion and shrinking and additive noise. Then, the system is applied to the clustering eleven clusters of time series generated by time scale warping and additive noise.
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Keyword(in English) Time Series Model / Genetic Programming / Clustering / Stock Price
Paper # EA2004-57,SIP2004-61,SIS2004-28
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Committee SIP
Conference Date 2004/9/9(1days)
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Registration To Signal Processing (SIP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) On Modeling of Time Series based on the Genetic Programming and its Application to Clustering
Sub Title (in English)
Keyword(1) Time Series Model
Keyword(2) Genetic Programming
Keyword(3) Clustering
Keyword(4) Stock Price
1st Author's Name Shozo TOKINAGA
1st Author's Affiliation Graduate School of Economics, Kyushu University()
2nd Author's Name Jianjung LU
2nd Author's Affiliation Graduate School of Economics, Kyushu University
Date 2004/9/9
Paper # EA2004-57,SIP2004-61,SIS2004-28
Volume (vol) vol.104
Number (no) 305
Page pp.pp.-
#Pages 6
Date of Issue