Design of artificial neural networks using genetic algorithms: review and prospect   [ANN] [NN] [GA]

by

Kuscu, I. and Thornton, C.

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Info: 1994
Keywords:genetic algorithms, genetic programming
Abstract:
The design of Artificial Neural Networks [ANN] [NN] by Genetic Algorithm [GA] is useful in terms of (1) automating and optimising the design and (2) finding biologically plausible models. This paper presents a review of the state of the art and research prospects in the area.
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BibTex:
@TechReport{Kuscu:1994:dANNuGA,
  author =       "Ibrahim Kuscu and Chris Thornton",
  title =        "Design of artificial neural networks using genetic
                 algorithms: review and prospect",
  institution =  "School of Cognitive and Computing Sciences, University
                 of Sussex",
  year =         "1994",
  type =         "Cognitive Science Research Paper",
  number =       "319",
  address =      "Falmer, Brighton, Sussex, UK",
  month =        "30 " # apr,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "ftp://ftp.cogs.susx.ac.uk/pub/reports/csrp/csrp319.ps.Z",
  abstract =     "The design of Artificial Neural Networks by Genetic
                 Algorithm is useful in terms of (1) automating and
                 optimising the design and (2) finding biologically
                 plausible models. This paper presents a review of the
                 state of the art and research prospects in the area.",
  size =         "11 pages",
}