A Genetic Algorithm for Constructing Wavelet Neural Networks

被引：2

作者：

Xu, Jinhua ^{[1
]}

机构：

[1] E China Normal Univ, Dept Comp Sci, Shanghai, Peoples R China

来源：

INTELLIGENT COMPUTING, PART I: INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, ICIC 2006, PART I | 2006年 / 4113卷

关键词：

D O I：

10.1007/11816157_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new algorithm is proposed for the design of WNNs. The design is performed in an evolutionary way, which allowed us to construct a parsimonious model to satisfy the design requirement. A genetic algorithm (GA) is used to select a wavelet basis, and the fitness of a wavelet is evaluated according to the residue reduction. Output weights are updated using least square techniques. Simulations demonstrate the effectiveness of the proposed algorithm.

引用

页码：286 / 291

页数：6

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