DocumentCode
480221
Title
Local Linear Wavelet Neural Network with Weight Perturbation Technique for Time Series Prediction
Author
Zhang, Zongmei ; Sun, Zhifang ; Tamura, Hiroki
Author_Institution
Qingdao R&D Center, Alcatel-lucent, Qingdao
Volume
4
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
798
Lastpage
801
Abstract
The local linear wavelet neural network is an improvement of wavelet network and commonly used learning algorithm is gradient descent method. In this paper, we attempt to predict sunspots using a local linear wavelet neural network and weight perturbation technique like simulated annealing. The simulation results show the effectiveness of the proposed method.
Keywords
gradient methods; mathematics computing; neural nets; time series; wavelet transforms; gradient descent method; learning algorithm; local linear wavelet neural network; simulated annealing; time series prediction; weight perturbation technique; Artificial neural networks; Neural networks; Neurons; Partial response channels; Perturbation methods; Predictive models; Research and development; Signal processing algorithms; Simulated annealing; Wavelet analysis; Local Linear Wavelet Neural Network; Local Search; Simulated Annealing; Sunspot Series; Weight Perturbation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.744
Filename
4722739
Link To Document