Title: Research on symbolic regression based on genetic programming
Abstract: Symbolic regression of measurement data is an important task in the field of measurement technique.The principle of genetic programming is discussed and symbolic regression based on genetic programming is studied.Compared with traditional methods,genetic programming does not need fitting function form,so it has a wider range of application.With the nonlinear regression method,results can be improved to get more optimal regression functions.An example is given to prove the effectiveness of above method.
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
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Cited By Count: 4
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