DocumentCode
1754115
Title
Application Research of a Forecasting Model Based on Wavelet Neural Network
Author
Pan, Yumin ; Cao, Zhiwen ; Xue, Pengqian
Author_Institution
North China Inst. of Sci. & Technol., Beijing, China
Volume
1
fYear
2011
fDate
28-29 March 2011
Firstpage
772
Lastpage
775
Abstract
A forecasting model for gas emission based on wavelet neural network is proposed in this paper. In the model, wavelet neutral network (WNN) is applied to the forecasting with gradient descent and amended by validity of iteration training algorithm. Compared with back-propagation neural networks, forecasting of the model has advantages of faster convergence and more accurate. Simulation results have proved that the method is valid and feasible.
Keywords
air pollution; backpropagation; neural nets; wavelet transforms; back propagation neural networks; convergence; forecasting model; gas emission; gradient descent; iteration training; wavelet neural network; Accuracy; Artificial neural networks; Convergence; Forecasting; Predictive models; Training; Wavelet transforms; forecasting; gas emission; wavelet neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.200
Filename
5750734
Link To Document