Symbolic and numerical regression: experiments and applications
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{davidson:2000:snrea,
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author = "J. W. Davidson and D. A. Savic and G. A. Walters",
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title = "Symbolic and numerical regression: experiments and
applications",
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booktitle = "Developments in Soft Computing",
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year = "2001",
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editor = "Robert John and Ralph Birkenhead",
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volume = "9",
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series = "Advances in Soft Computing",
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pages = "175--182",
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address = "De Montfort University, Leicester, UK",
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month = "29-30 " # jun # " 2000.",
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publisher = "Physica Verlag",
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publisher_address = "Heidelberg, Germany",
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keywords = "genetic algorithms, genetic programming,
least-squares, rule-based programming, stepwise
regression, symbolic regression",
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URL = "http://buch.archinform.net/isbn/3-7908-1361-3.htm",
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URL = "http://www.amazon.com/gp/product/3790813613",
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DOI = "doi:10.1007/978-3-7908-1829-1_21",
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ISBN = "3-7908-1361-3",
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abstract = "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",
- }
Genetic Programming entries for
J W Davidson
Dragan Savic
Godfrey A Walters
Citations