Genetic and Bacterial Programming for B-Spline Neural Networks Design
Created by W.Langdon from
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- @Article{BotzheimCabritaKoczyRuano07,
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author = "Janos Botzheim and Cristiano Cabrita and
Laszlo T. Koczy and Antonio E. Ruano",
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title = "Genetic and Bacterial Programming for {B}-Spline
Neural Networks Design",
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journal = "Journal of Advanced Computational Intelligence and
Intelligent Informatics",
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year = "2007",
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volume = "11",
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number = "2",
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pages = "220--231",
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month = feb,
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keywords = "genetic algorithms, genetic programming, constructive
algorithms, B-splines, bacterial programming",
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ISSN = "1343-0130",
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URL = "http://www.fujipress.jp/finder/xslt.php?mode=present&inputfile=JACII001100020012.xml",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/botzheim/BotzheimCabritaKoczyRuano07.pdf",
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DOI = "doi:10.20965/jaciii.2007.p0220",
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size = "12 pages",
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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
Citations