Hybrid cultural and back-propagation algorithm for neural network training

被引：0

作者：

Yuan, Xiaohui ^{[1
]}

Zhang, Yongchuan ^{[1
]}

Wang, Cheng ^{[1
]}

Zhou, Jianzhong ^{[1
]}

Wang, Jinwen ^{[1
]}

Yuan, Yanbin ^{[2
]}

机构：

[1] Sch Hydropower Engn, Wuhan 430074, Hubei, Peoples R China

[2] Sch Resource Engn, Wuhan 430070, Hubei, Peoples R China

来源：

DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2007年 / 14卷

关键词：

back-propagation algorithm; neural network; cultural algorithm;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper proposes a new approach for training feed-forward neural networks (FNN) by hybrid of cultural algorithm and back-propagation algorithm (HCABP). It combines the advantages of the global search performed by cultural algorithm over the FNN parameter space and the local search of the back-propagation algorithm(BP). Using a function approximation problem as an illustration, we compare the HCABP and BP for effectiveness, ease-of-use, and efficiency for training FNN. It shows that the proposed method can provide better results for training FNN than BP.

引用

页码：737 / 740

页数：4

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