DocumentCode
2149035
Title
RBF Model Applied to Forecast the Water and Sediment Fluxes in Lijin Section
Author
Yan, Jun ; Cao, Hui ; Wang, Jun ; Liu, Yanfang ; Zhao, Haibin
Author_Institution
North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
5
Abstract
The structure of the RBF neural network is introduced. Then the RBF model is build up to forecast the runoff and the sediment transport volume of Lijin section during the flood period and the non-flood period in 11th year according to the former 10 years´ field data. Compared the RBF emulating results with the field data, the forecasting error is analyzed and the methods to improve the forecast precision are put forward.
Keywords
forecasting theory; radial basis function networks; RBF model; forecast precision; forecasting error; sediment flux; water flux; Artificial neural networks; Biological neural networks; Floods; Mouth; Predictive models; Rivers; Sediments; Statistical analysis; Water conservation; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5303860
Filename
5303860
Link To Document