DocumentCode
349605
Title
The application of wavelet neural network in time series prediction and system modeling based on multiresolution learning
Author
Chen, Z. ; Feng, T.J. ; Meng, Q.C.
Author_Institution
Dept. of Electr. Eng., Ocean Univ. of Qingdao, China
Volume
1
fYear
1999
fDate
1999
Firstpage
425
Abstract
In this paper, a new kind of wavelet neural networks (WNN) was proposed, the performance was compared with multilayer perceptron (MLP) in the application of chaotic time series single and multiple step prediction based on an improved multiresolution learning paradigm. The experimental results demonstrated the great approximation ability of WNN and its suitability in prediction and system modeling
Keywords
learning (artificial intelligence); multilayer perceptrons; neural nets; time series; wavelet transforms; approximation ability; chaotic time series; multilayer perceptron; multiresolution learning; multiresolution learning paradigm; performance; system modeling; time series prediction; wavelet neural network; Artificial neural networks; Biological neural networks; Chaos; Energy resolution; Function approximation; Intelligent networks; Modeling; Neural networks; Predictive models; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location
Tokyo
ISSN
1062-922X
Print_ISBN
0-7803-5731-0
Type
conf
DOI
10.1109/ICSMC.1999.814129
Filename
814129
Link To Document