Research Article
Research on Neural Network Flood Forecasting Model Based on Hydrological Model
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322689, author={Fanchun Li}, title={Research on Neural Network Flood Forecasting Model Based on Hydrological Model}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={bp neural network model; stochastic model; runoff forecast}, doi={10.4108/eai.17-6-2022.2322689} }- Fanchun Li
Year: 2022
Research on Neural Network Flood Forecasting Model Based on Hydrological Model
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322689
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.
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