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

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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Bibliographic Details
Main Authors: Er-fu WANG, Yuan-shuo ZHENG, Xin-wu CHEN
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-07-01
Series:Tongxin xuebao
Subjects:
blind equalization
genetic algorithm
neural network
elitist strategy
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016148/
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