Neural Logic Network Learning Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{DBLP:journals/ijcia/ChiaT01,
  author =       "Henry Wai Kit Chia and Chew Lim Tan",
  title =        "Neural Logic Network Learning Using Genetic
                 Programming",
  journal =      "International Journal of Computational Intelligence
                 and Applications",
  volume =       "1",
  number =       "4",
  year =         "2001",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  pages =        "357--368",
  keywords =     "genetic algorithms, genetic programming, Neural
                 network, rule-based learning, data mining",
  DOI =          "doi:10.1142/S1469026801000299",
  abstract =     "Neural Logic Networks or Neulonets are hybrids of
                 neural networks and expert systems capable of
                 representing complex human logic in decision making.
                 Each neulonet is composed of rudimentary net rules
                 which themselves depict a wide variety of fundamental
                 human logic rules. An early methodology employed in
                 neulonet learning for pattern classification involved
                 weight adjustments during back-propagation training
                 which ultimately rendered the net rules
                 incomprehensible. A new technique is now developed that
                 allows the neulonet to learn by composing the net rules
                 using genetic programming without the need to impose
                 weight modifications, thereby maintaining the inherent
                 logic of the net rules. Experimental results are
                 presented to illustrate this new and exciting
                 capability in capturing human decision logic from
                 examples. The extraction and analysis of human logic
                 net rules from an evolved neulonet will be discussed.
                 These extracted net rules will be shown to provide an
                 alternate perspective to the greater extent of
                 knowledge that can be expressed and discovered.
                 Comparisons will also be made to demonstrate the added
                 advantage of using net rules, against the use of
                 standard boolean logic of negation, disjunction and
                 conjunction, in the realm of evolutionary
                 computation.",
}

Genetic Programming entries for Henry Wai-Kit Chia Chew-Lim Tan

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