流域输沙量和输沙率的B-P人工神经网络预测

Predictions of Amount of Sediment and Rate of Sediment in Watershed Using B-P Network

提出了应用 B- P人工神经网络 ,建立流域输沙量和最大输沙率的预测模型。以降雨量、降雨历时、洪峰流量和洪量等因子建立的李子溪流域的输沙量和最大输沙率的 B- P网络预测模型效果表明 :拟合率达 90 %左右 ,预留检验报准率在 75 %以上。

Predictable models of amount of sediment and maximal rate of sediment in a watershed are presented using B-P artificial neural network. The predictable results of the B-P network modle developed by using area mean rainfall amount during the time of raifall,flood run off and amount of flood factor etc.It shows that the gualified rates of fitting and predicting accuracy 90% and 75%, respectively.