Evolving Modular Neural Networks Using Rule-Based Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{talko:1999:ai,
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author = "Bret Talko and Linda Stern and Les Kitchen",
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title = "Evolving Modular Neural Networks Using Rule-Based
Genetic Programming",
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booktitle = "12th Australian Joint Conference on Artificial
Intelligence",
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year = "1999",
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editor = "Norman Foo",
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volume = "1747",
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series = "LNCS",
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pages = "482--483",
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address = "Sydney, Australia",
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publisher_address = "Berlin",
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month = "6-10 " # dec,
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-66822-5",
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URL = "http://citeseer.ist.psu.edu/cache/papers/cs/12028/http:zSzzSzwww.cs.mu.oz.auzSz~talkozSzposterai99.pdf/evolving-modular-neural-networks.pdf",
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URL = "http://citeseer.ist.psu.edu/284438.html",
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broken = "http://fluid.mech.okayama-u.ac.jp/brett/evolving-modular-neural-networks.ps",
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URL = "http://www.springer.com/computer/ai/book/978-3-540-66822-0",
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size = "2 pages",
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abstract = "his paper describes a new approach for evolving
recurrent neural networks using Genetic Programming. A
system has been developed to train weightless neural
networks using construction rules. The network
construction rules are evolved by the Genetic
Programming system which build the solution neural
networks. The use of rules allows networks to be
constructed modularly. Experimentation with
decomposable Boolean functions has revealed that the
performance of the system is superior to a...",
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notes = "http://www.cse.unsw.edu.au/~ai99/ masters thesis",
- }
Genetic Programming entries for
Bret Talko
Linda Stern
Les Kitchen
Citations