Evolving the Architecture and Weights of Neural Networks Using a Weight Mapping Approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @TechReport{Pujol99,
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author = "Joao Carlos Figueira Pujol and Riccardo Poli",
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title = "Evolving the Architecture and Weights of Neural
Networks Using a Weight Mapping Approach",
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institution = "University of Birmingham, School of Computer Science",
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number = "CSRP-99-05",
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month = "10 " # feb,
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year = "1999",
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type = "Technical Report",
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address = "UK",
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keywords = "genetic algorithms, genetic programming",
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file = "/1999/CSRP-99-05.ps.gz",
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URL = "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/1999/CSRP-99-05.ps.gz",
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abstract = "The application of genetic programming to the
evolution of neural networks has been hindered by the
inadequacy of parse trees to represent oriented graphs,
and by the lack of a good mechanism for encoding the
weights. In this work, a hybrid method is introduced,
where genetic programming evolves a mapping function to
adapt the weights, whereas a genetic algorithm-based
approach evolves the architecture. Results on the
application of the new method to the evolution of
feedforward and recurrent neural networks are
reported.",
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size = "14 pages",
- }
Genetic Programming entries for
Joao Carlos Figueira Pujol
Riccardo Poli
Citations