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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...
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...
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...
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