The application of Wavelet Neural Networks on Rainfall Forecast

被引：0
|
作者：
Xiao, Weiwei [1 ]
Luan, Weijun [1 ]
机构：
[1] North China Univ Technol, Coll Sci, Beijing 100144, Peoples R China
来源：
INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY, PTS 1-4 | 2013年 / 263-266卷
关键词：
wavelet neural network; wavelet basis functions; rainfall forecast;
D O I：
10.4028/www.scientific.net/AMM.263-266.3370
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
We proposed the improved wavelet neural network and applied it to forecast rainfall. Activation function was selected automatically from three wavelet basis functions. The three given wavelet basis functions were Morlet, Mexican-Hat and Different Of Gauss(DOG) wavelet basis functions respectively. We demonstrat its effectiveness by forecasts rainfall of some cities in China. The results show that the improved wavelet networks method is better than BP neural network method in rainfall forecast.
引用
收藏
页码：3370 / 3373
页数：4
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