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Flood forecast model of Fengman reservoir based on BP neural network and genetic algorithm

LI Cheng-lin,YANG Bin-bin  
BP neural network model is tried to be used to forecast runoff based on the basin characteristics of Fengman reservoir.Initial weight is optimized by genetic algorithm according to the blindness of random operation of network weight.Through the test of historical floods,the practical value and precision of the model are approved in Fengman reservoir.
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