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This paper describes a genetic system for designing and training feed-forward artificial neural networks to solve any problem presented as a set of trainin.
This paper presents a new system for design a train automatically artificial neural networks by genetic algorithms known as GANN (Genetic Algorithm Neu- ral ...
Abstract This paper describes a genetic system for designing and training feed-forward artificial neural networks to solve any problem presented as a set of.
Cooperative binary-real coded genetic algorithms for generating and adapting artificial neural networks ; ISSN/ISBN: 0741-3106 ; 2003 · 10.1007/s00521-003-0364-1
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Cooperative binary-real coded genetic algorithms for generating and adapting artificial neural networks. ... a fast optimisation algorithm. 185-189
... Cooperative binary-real coded genetic algorithms for generating and adapting artificial neural networks. Article. Full-text available. Nov 2003.
In this paper, we present a Real-Coded Genetic Algorithm that uses the appropriate operators for this encoding type to train Recurrent Neural Networks.
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Cooperative binary-real coded genetic algorithms for generating and adapting artificial neural networks · Computer Science. Neural Computing & Applications · 2003.
Mar 2, 2023 · Genetic algorithms are still useful for strange objective functions that defy analytical approaches, such as anything based on complex ...
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Barrios D, Carrascal A, Manrique D, et al (2003) Cooperative binary real coded genetic algorithms for generating and adapting artificial neural networks. J ...