Optimization of neural networks through grammatical evolution and a genetic algorithm

•Neural codification confers scalability and search space reduction.•The parallel genome scan engine increases the implicit parallelism of the GA.•Our approach rewards economical ANNs which have better generalization capacity.•Reduction in chromosome length from 512 to 180 bits.•Our NEA outperforms...

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Veröffentlicht in:	Expert systems with applications 2016-09, Vol.56, p.368-384
Hauptverfasser:	de Campos, Lídio Mauro Lima, de Oliveira, Roberto Célio Limão, Roisenberg, Mauro
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Computer simulation Construction Evolutionary computation Forecasting Genetic algorithms Grammatical evolution Neural networks Time series
Online-Zugang:	Volltext
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