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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Bibliografische Detailangaben

Hauptverfasser:	Er-fu WANG, Yuan-shuo ZHENG, Xin-wu CHEN
Format:	Artigo
Sprache:	Chinês
Veröffentlicht:	Editorial Department of Journal on Communications 2016-07-01
Schriftenreihe:	Tongxin xuebao
Schlagworte:	blind equalization;genetic algorithm;neural network;elitist strategy
Online-Zugang:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2016148
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