Structure optimization of wavelet neural network using rough set theory

被引：0
|
作者：
Li, YG [1 ]
Shen, J [1 ]
Lu, ZC [1 ]
机构：
[1] SE Univ, Dept Power Engn, Nanjing 210096, Peoples R China
来源：
PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年
关键词：
rough sets; wavelet neural network; wavelet frame; dependency of attributes;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an approach to minimize the redundancy of structure existing in wavelet neural networks based on frame using rough sets theory. The original structure of wavelet network is obtained through time-frequency analysis. Then the redundant nodes are eliminated in light of dependecy between the output of the network and-the nodes in the hidden layers to optimize the structure of wavelet network. Simulation results illustrate the proposed method is simple and effective.
引用
收藏
页码：652 / 655
页数：4
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