Application of Genetic Programming to System Modeling from Input-Output Data

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概要

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• A new approach for generating a system model from its input-output data is presented. The model is approximated as a linear combination of simple basis functions. The number of basis functions is kept as small as possible to prevent over-fitting and to make the model efficiently computable. Based on these conditions, genetic programming is employed for the generation and selection of the appropriate basis. Since the obtained model can be expressed in simple mathematical expressions, it is suitable for using the model as a macro or behavior model in system level simulation. Experimental results are shown.

• 社団法人電子情報通信学会の論文
• 1998-05-25

著者

• Uatrongjit Sermsak

  The Faculty Of Engineering Chiang Mai University

• Fujii Nobuo

  The Faculty Of Engineering Tokyo Institute Of Technology

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• Application of Genetic Programming to System Modeling from Input-Output Data

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