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
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;
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
DOI :
10.1109/CISP.2009.5303860
