Symbolic and numerical regression: experiments and applications

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{davidson:2000:snrea,

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