Genetic and Bacterial Programming for B-Spline Neural Networks Design

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@Article{BotzheimCabritaKoczyRuano07,

• author = "Janos Botzheim and Cristiano Cabrita and Laszlo T. Koczy and Antonio E. Ruano",
• title = "Genetic and Bacterial Programming for {B}-Spline Neural Networks Design",
• journal = "Journal of Advanced Computational Intelligence and Intelligent Informatics",
• year = "2007",
• volume = "11",
• number = "2",
• pages = "220--231",
• month = feb,
• keywords = "genetic algorithms, genetic programming, constructive algorithms, B-splines, bacterial programming",
• ISSN = "1343-0130",
• URL = "http://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=JACII001100020012.xml",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/botzheim/BotzheimCabritaKoczyRuano07.pdf",
• DOI = "doi:10.20965/jaciii.2007.p0220",
• size = "12 pages",
• abstract = "The design phase of B-spline neural networks is a highly computationally complex task. Existent heuristics have been found to be highly dependent on the initial conditions employed. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this paper, the Bacterial Programming approach is presented, which is based on the replication of the microbial evolution phenomenon. This technique produces an efficient topology search, obtaining additionally more consistent solutions.",

}

Genetic Programming entries for Janos Botzheim Cristiano Cabrita Laszlo T Koczy Antonio E Ruano

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