Genetic Synthesis of Modular Neural Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{icga93:gruau,
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author = "Frederic Gruau",
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title = "Genetic Synthesis of Modular Neural Networks",
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year = "1993",
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booktitle = "Proceedings of the 5th International Conference on
Genetic Algorithms, ICGA-93",
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editor = "Stephanie Forrest",
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publisher = "Morgan Kaufmann",
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pages = "318--325",
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month = "17-21 " # jul,
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address = "University of Illinois at Urbana-Champaign",
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keywords = "genetic algorithms, genetic programming, ANN, Mux,
parity distributed population",
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ISBN = "1-55860-299-2",
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acmid = "657409",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/icga93_gruau.pdf",
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URL = "http://dl.acm.org/citation.cfm?id=645513.657409",
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size = "8 pages",
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abstract = "Cellular encoding is a method for encoding families of
Boolean neural networks having the same same structure,
that can compute scalable Boolean functions. The
current study describes how to incorporate modularity
into Cellular Encoding. A Genetic Algorithm is used to
find part of a modular code that yields both
architecture and plus-minus 1 weights specifying the
decoder Boolean function of 10 inputs and 1024 outputs.
This results suggests that the GA can exploit
modularity in order to find architectures within a more
complex range",
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notes = "'solves the decoder of L inputs for arbitary large
L'
",
- }
Genetic Programming entries for
Frederic Gruau
Citations