Summary
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.
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© 2001 Springer-Verlag Berlin Heidelberg
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Davidson, J.W., Savic, D.A., Walters, G.A. (2001). Symbolic and Numerical Regression: Experiments and Applications. In: John, R., Birkenhead, R. (eds) Developments in Soft Computing. Advances in Soft Computing, vol 9. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1829-1_21
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DOI: https://doi.org/10.1007/978-3-7908-1829-1_21
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1361-6
Online ISBN: 978-3-7908-1829-1
eBook Packages: Springer Book Archive