Symbolic and numerical regression: experiments and applications
نویسندگان
چکیده
This paper describes a new method for creating polynomial regression models. The new method is compared with stepwise regression and symbolic regression using three example problems. The first example is a polynomial equation. The two examples that follow are real-world problems, approximating the Colebrook–White equation and rainfall-runoff modelling. The three example problems illustrate the advantages of the new method. 2002 Elsevier Science Inc. All rights reserved.
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عنوان ژورنال:
- Inf. Sci.
دوره 150 شماره
صفحات -
تاریخ انتشار 2003