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- W2364759864 abstract "By using flow and sediment conditions and position of main flow and river boundary as the input vectors, through analyzing influences of flow and sediment intensity and bank-protection works on bank-failure, bank-failure is used as output, so a prediction model for river bank-failure is established based on BP neural networks. The model is used to simulate the bank-failure of Shishou reach bends at Jingjiang River from 1965 to 2003; the results show that the model can simulate and predict the bank-failure with good precision. The model also provides a new method to predict river bank-failure." @default.
- W2364759864 created "2016-06-24" @default.
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- W2364759864 date "2004-01-01" @default.
- W2364759864 modified "2023-09-26" @default.
- W2364759864 title "Research and application of prediction model for river bank-failure" @default.
- W2364759864 hasPublicationYear "2004" @default.
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