A Grammatical Genetic Programming Representation for Radial Basis Function Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.8178

@InCollection{Dempsey:2007:geRBF,

• author = "Ian Dempsey and Anthony Brabazon and Michael O'Neill",
• title = "A Grammatical Genetic Programming Representation for Radial Basis Function Networks",
• booktitle = "Engineering Evolutionary Intelligent Systems",
• publisher = "Springer",
• year = "2007",
• editor = "Ajith Abraham and Crina Grosan and Witold Pedrycz",
• volume = "82",
• series = "Studies in Computational Intelligence",
• pages = "325--335",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• isbn13 = "978-3-540-75395-7",
• DOI = "doi:10.1007/978-3-540-75396-4_11",
• abstract = "We present a hybrid algorithm where evolutionary computation, in the form of grammatical genetic programming, is used to generate Radial Basis Function Networks. An introduction to the underlying algorithms of the hybrid approach is outlined, followed by a description of a grammatical representation for Radial Basis Function networks. The hybrid algorithm is tested on five benchmark classification problem instances, and its performance is found to be encouraging.",
• notes = "http://www.springer.com/east/home/engineering?SGWID=5-175-22-173762620-0",

}

Genetic Programming entries for Ian Dempsey Anthony Brabazon Michael O'Neill

Citations