作者: M Maarouf , A Sosa , B Galván , D Greiner , G Winter
DOI: 10.1007/978-3-319-11541-2_4
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摘要: This paper reviews the combination of Artificial Neural Networks (ANN) and Evolutionary Optimisation (EO) to solve challenging problems for academia industry. Both methodologies has been mixed in several ways last decade with more or less degree success, but most contributions can be classified into two following groups: use EO techniques optimizing learning ANN (EOANN) developing ANNs increase efficiency processes (ANNEO). The number shows that both is nowadays a mature field some new trends advances computer science permits affirm there still room noticeable improvements.