The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognition

被引：0

作者：

Yonekawa, Masato ^{[1
]}

Kurokawa, Hiroaki ^{[1
]}

机构：

[1] Tokyo Univ Technol, Sch Comp Sci, Tokyo, Japan

来源：

ARTIFICIAL NEURAL NETWORKS (ICANN 2010), PT III | 2010年 / 6354卷

关键词：

PCNN; pattern recognition; real coded genetic algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The pattern recognition using Pulse Coupled Neural Network (PCNN) had been proposed. In conventional studies, the parameters in the PCNN are used to be defined empirically and the optimization of parameters has been known as a remaining problem of PCNN. In this study, we show a method to apply the real coded genetic algorithm to the parameter optimization of the PCNN and we also show performances of pattern recognition by the PCNN with learned parameters.

引用

页码：110 / 113

页数：4