基于径向基函数神经网络降雨产流预测研究

Rainfall Runoff Prediction Based on Radial Basis Function Neural Network

从径向基函数神经网络原理分析出发,探讨用于降雨产流预测的神经网络模型,并将此模型应用于泜河上。预测和检验结果表明,基于径向基函数神经网络预测模型可以很好地反映流域降雨产流问题。

Based on radial basis function neural network principle analysis, we probe into a rainfall runoff forecast for the neural network model design method, and applied it to the Zhihe River. The forecast and test result show that prediction model based on radial basis function neural network can describe rainfall runoff problems better.