Comparing hybrid systems to design and optimize artificial neural networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{castillo:2004:eurogp,
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author = "Pedro A. Castillo and Maribel G. Arenas and
J. J. Merelo and Gustavo Romero and Fatima Rateb and
Alberto Prieto",
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title = "Comparing hybrid systems to design and optimize
artificial neural networks",
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booktitle = "Genetic Programming 7th European Conference, EuroGP
2004, Proceedings",
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year = "2004",
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editor = "Maarten Keijzer and Una-May O'Reilly and
Simon M. Lucas and Ernesto Costa and Terence Soule",
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volume = "3003",
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series = "LNCS",
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pages = "240--249",
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address = "Coimbra, Portugal",
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publisher_address = "Berlin",
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month = "5-7 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming: Poster",
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ISBN = "3-540-21346-5",
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DOI = "doi:10.1007/978-3-540-24650-3_22",
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abstract = "We conduct a comparative study between hybrid methods
to optimise multi-layer perceptrons: a model that
optimises the architecture and initial weights of multi
layer perceptrons; a parallel approach to optimise the
architecture and initial weights of multilayer
perceptrons; a method that searches for the parameters
of the training algorithm, and an approach for
cooperative co-evolutionary optimisation of multi layer
perceptrons. Obtained results show that a
co-evolutionary model obtains similar or better results
than specialised approaches, needing much less training
epochs and thus using much less simulation time.",
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notes = "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
conjunction with EvoCOP2004 and EvoWorkshops2004",
- }
Genetic Programming entries for
Pedro A Castillo Valdivieso
Maribel Garcia Arenas
Juan Julian Merelo
Gustavo Romero
Fatima Rateb
Alberto Prieto Espinosa
Citations