1 / 4
文档名称:

Structure optimization of wavelet neural network using rough set theory - Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on.pdf

格式:pdf   页数:4
下载后只包含 1 个 PDF 格式的文档,没有任何的图纸或源代码,查看文件列表

如果您已付费下载过本站文档,您可以点这里二次下载

Structure optimization of wavelet neural network using rough set theory - Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on.pdf

上传人:bolee65 2014/1/19 文件大小:0 KB

下载得到文件列表

Structure optimization of wavelet neural network using rough set theory - Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on.pdf

文档介绍

文档介绍:652 Proceedings of the 4" World Congress on Intelligent Control and Automation lune 10-14, 2002, Shanghai,
Structure Optimization of Wavelet work
Using Rough Set Theory
Yiguo Li Jiong Shen Zhenzhong Lu
Department of Power Engineering, Southeast University, Nanjing 210096
Abstract This paper presents an approach to minimize the redundancy of structure existing in wavelet works based on
frame using rough sets theory. The original smcture of work is obtained through time-frequency analysis. Then the
redundant nodes are eliminated in light of dependecy between the output of work and-the nodes in the hidden layers to
optimize the structure of work. Simulation results illustrate the proposed method is simple and effective.
Key words Rough sets: wavelet work: wavelet frame: dependency of attributes
Pmceedings of the 4' World Congress on Intelligent Control and Automation June 10-14, 2002, Shanghai, 653
654 Proceedings of the 4* World Congress on Intelligent Control and Automation lune 1w14, 2002, Shanghai,
I = {(man): Q,,,,, n Qf f O;m,n E Z} (4)
0e-"-
(0 5 x < 10)
.sin[( + )xI
Proceedings of the 46 World Congress on Intelligent Control and Automation June 10-14, 2002, Shanghai, 655
mxk,******@iihmr4B,&.******@kP-*w3%m%B
ikmR%%WWkgi+3&. 14tBj%HalIt,&%
m~wm{Y~~(x)} “m~fi, BFZ/J\W$
2~W%S