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
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.200
