Neural network blind equalization optimized by parallel genetic algorithm with partial elitist strategy

Owing to the disadvantage of slow convergence and easy to fall into local minimum of the neural network blind equalization algorithm under high dimensional and non-convex cost function, a parallel genetic algorithm (GA) with partial elitist strategy was proposed to optimize neural network training....

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Auteurs principaux:	Er-fu WANG, Yuan-shuo ZHENG, Xin-wu CHEN
Format:	Artigo
Langue:	Chinês
Publié:	Editorial Department of Journal on Communications 2016-07-01
Collection:	Tongxin xuebao
Sujets:	blind equalization;genetic algorithm;neural network;elitist strategy
Accès en ligne:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2016148
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