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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.814129
