Title :
BP Model Applied to Forecast the Water and Sediment Fluxes in the Yellow River Mouth
Author :
Yan, Jun ; Liu, Yanfang ; Wang, Jun ; Cao, Hui ; Zhao, Haibin
Author_Institution :
North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China
Abstract :
The fundamental of neural network and its application are introduced firstly. Then the main factors which affect the runoff and the sediment transport volume in the problems of the water and sediment fluxes in the Yellow River Mouth during the flood and non-flood period are analyzed. Furthermore, the BP model is set up by using the program in the toolbox of the neural network under the environment of MATLAB. Finally the runoff and the sediment transport volume in Linjin section are forecasted and the forecasting errors are analyzed.
Keywords :
backpropagation; floods; geophysics computing; mathematics computing; neural nets; rivers; sediments; BP model; China; Linjin section; MATLAB; Yellow River Mouth; flood period; forecasting errors; neural network; nonflood period; runoff; sediment transport volume; water flux; Artificial intelligence; Artificial neural networks; Floods; Mathematical model; Mouth; Predictive models; Rivers; Sediments; Statistical analysis; Water conservation;
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.2009.5303781
