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Singular value detection of genetic algorithm optimizing RBF neural network

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成果类型:
期刊论文
作者:
Li, Jia-Sheng;Wang, Ying-De;Tian, Wang-Lan
通讯作者:
Li, J.-S.
作者机构:
[Li, Jia-Sheng; Tian, Wang-Lan] College of Communication and Electronic Engineering, Hunan City University, Hunan Yiyang, 413000, China
[Wang, Ying-De] Department of Electronics and Communication Engineering, Changsha University, Hunan Changsha, 410003, China
通讯机构:
[Li, J.-S.] C
College of Communication and Electronic Engineering, Hunan City University, China
语种:
英文
关键词:
Distributed generation;Genetic algorithm;RBF neural network;Singular value
期刊:
Information Technology Journal
ISSN:
1812-5638
年:
2013
卷:
12
期:
11
页码:
2201-2206
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
Due to the improper choosing of network weight, the center vector and the initial value of sound stage width vector of Gaussian function, when using RBF neural network to detect the singular value of the grid signal, it would lead to the decline of detection accuracy even to the RBF network divergent. Basing on the genetic algorithm, this study proposes a grid signal singular value detecting algorithm which is a genetic algorithm that can optimize RBF neural network and provides the mathematical model as well as detecting and analyzing the sing...

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