Application Research of A Forecasting Model Based on Wavelet Neural Network

摘要：

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 accuratcSimulation results have proved that the method is valid and feasible.

关键词： forecasting wavelet neural network gas emission

作者: Yumin Pan Zhiwen Cao Pengqian Xue

作者单位: North China Institute of Science & Technology.Yanjiao, East Beijing 101601, China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

会议地点: 深圳

会议语种:英文

页码: 772-775

在线出版日期: 2011-03-28（万方平台首次上网日期，不代表论文的发表时间）