Presentation 2002/1/3
Adaptation under the Dynamic Environment and Application to Financial Time Series
Kazuko YAMASAKI, Kazuhisa KITAKAZE, Masuteru SEKIGUCHI,
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Abstract(in English) It is reasonable that adaptation to the dynamic environment should be developed using characteristics of changes, such as reappearance, continuity, rarity and predictability. And, adaptation to the dynamic environment contains a trade-off of which a good adaptation in this moment makes it difficult to adapt in next moment. This means the similarity between the dynamic environment and multi-objective-optimization. Under this situation, we developed a method in out previous works. In this work I apply our proposed method to financial time series.
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Keyword(in English) dynamic environment / adaptation / multi-objective-optimization / financial time series
Paper # Al2001-69
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Committee AI
Conference Date 2002/1/3(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptation under the Dynamic Environment and Application to Financial Time Series
Sub Title (in English)
Keyword(1) dynamic environment
Keyword(2) adaptation
Keyword(3) multi-objective-optimization
Keyword(4) financial time series
1st Author's Name Kazuko YAMASAKI
1st Author's Affiliation Faculty of Informatics, Tokyo University of Information Sciences()
2nd Author's Name Kazuhisa KITAKAZE
2nd Author's Affiliation Faculty of Informatics, Tokyo University of Information Sciences
3rd Author's Name Masuteru SEKIGUCHI
3rd Author's Affiliation Faculty of Informatics, Tokyo University of Information Sciences
Date 2002/1/3
Paper # Al2001-69
Volume (vol) vol.101
Number (no) 536
Page pp.pp.-
#Pages 8
Date of Issue