Title :
Levenberg-Marquardt Algorithm Applied to Forecast the Ice Conditions in Ningmeng Reach of the Yellow River
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 characters of Ningmeng Reach of the Yellow River are introduced firstly, followed by the fundamental of neural network and its application. Then the main factors which affect the ice conditions in Ningmeng Reach are analyzed. Furthermore, the BP model based on feed-forward back-propagation and improved by the Levenberg-Marquardt algorithm is set up and applied to forecast the ice conditions in Ningmeng Reach. The forecast results in the winter of 2004-2005 are in good agreement with the measured data.
Keywords :
backpropagation; feedforward neural nets; forecasting theory; nonlinear programming; water resources; Levenberg-Marquardt algorithm; feedforward backpropagation; ice condition forecast; neural network; Artificial neural networks; Biographies; Geographic Information Systems; Ice; Predictive models; Rivers; Sediments; Technological innovation; Temperature; Water conservation; FFBP model; Ningmeng Reach; artificial neural network; forecast; the Levenberg Marquardt algorithm; the ice conditions;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.396
