Scientific Discovery of Dynamic Models Based on Scale-type Constraints
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概要
- 論文の詳細を見る
This paper proposes a novel approach to discover dynamic models represented by simultaneous time differential law equations including hidden states from time series data measured in an objective process. This task has not been addressed in the past work though it is essentially important in scientific discovery since any behaviors of the objective processes emerge in time evolution. The promising performance of the proposed approach is demonstrated through the analysis of synthetic data.
- 一般社団法人情報処理学会の論文
- 2005-05-10
著者
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Motoda Hiroshi
I.s.i.r. Osaka University
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Washio Takashi
The Institute Of Scientific And Industrial Research Osaka University
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Washio Takashi
I.s.i.r. Osaka University
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Adachi Fuminori
The Institute Of Scientific And Industrial Research Osaka University
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ADACHI FUMINORI
I.S.I.R., Osaka University
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