Gain estimation for an AC power line data network transmitter using a self-structured neural network and genetic algorithm

被引：0
|
作者：
Lam, HK [1 ]
Ling, SH [1 ]
Leung, FHF [1 ]
Tam, PKS [1 ]
Lee, YS [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Ctr Multimedia Signal Proc, Kowloon, Hong Kong, Peoples R China
来源：
IECON-2002: PROCEEDINGS OF THE 2002 28TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4 | 2002年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents the estimation of the transmission gain for the AC power line data network in an intelligent home. The estimated gain ensures the transmission reliability and efficiency. A neural network with link switches is proposed to perform the estimation. Genetic algorithm with arithmetic crossover and non-uniform mutation is employed to tune the parameters and the structure of the proposed neural network. An application example will be given.
引用
收藏
页码：1926 / 1929
页数：4
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