Research on Neural Network Flood Forecasting Model Based on Hydrological Model

Abstract

: In view of the problem of inaccurate flood prediction of the current BP neural network model, establishing a neural network flood prediction model based on the random information of the hydrological model can effectively combine the advantages of various hydrological models and avoid the disadvantages of various hydrological models, so as to accurately predict the flood information. Hydrologic model randomly simulates large floods, and then inputs flood information into the neural network model, which can enhance the accuracy of flood prediction. It can also be seen from the last example that this method is more effective, and the flood prediction model based on the neural network model can be better put into application.