Neural Logic Network Learning using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{DBLP:conf/ijcai/TanC01,
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author = "Chew Lim Tan and Henry Wai Kit Chia",
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title = "Neural Logic Network Learning using Genetic
Programming",
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year = "2001",
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editor = "Bernhard Nebel",
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ISBN = "1-55860-777-3",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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booktitle = "Proceedings of the Seventeenth International Joint
Conference on Artificial Intelligence, IJCAI 2001",
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pages = "803--808",
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address = "Seattle, USA",
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month = aug # " 4-10",
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publisher = "Morgan Kaufmann",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://ijcai.org/Past_Proceedings/IJCAI-2001/PDF/.../IJCAI-2001-j.pdf",
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size = "6 pages",
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abstract = "Neural Logic Network or Neulonet is a hybrid of neural
network expert systems. Its strength lies in its
ability to learn and to represent human logic in
decision making using component net rules. The
technique originally employed in neulonet learning is
backpropagation. However, the resulting weight
adjustments will lead to a loss in the logic of the net
rules. A new technique is now developed that allows the
neulonet to learn by composing net rules using genetic
programming. This paper presents experimental results
to demonstrate this new and exciting capability in
capturing human decision logic from examples.
Comparisons will also be made between the use of net
rules, and the use of standard Boolean logic of
negation, disjunction and conjunction in evolutionary
computation.",
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notes = "http://www.ijcai.org/past/ijcai-01/PrelimTechSchedule.htm",
- }
Genetic Programming entries for
Chew-Lim Tan
Henry Wai-Kit Chia
Citations