基于MATLAB神经网络的三门峡水库泥沙冲淤变化预测分析

BP Neural Network-Based Forecast and Analysis of Silt Scour and Siltation for Sanmenxia Reservoir

通过理论分析并结合三门峡水库的实际情况 ,建立了三门峡水库潼关以下库区泥沙冲淤变化和潼关断面水位变化的BP预测模型 ,并利用MATLAB环境下的神经网络工具箱开发了相应的程序。预测结果表明 ,该模型程序具有学习能力强、预测精度较高、快速方便等特点 。

By theoretical analysis combining with the actual condition of Sanmenxia reservoir, BP models are established and corresponding programs are also developed using NNET toolbox in MATLAB to forecast the changes of sedimentation in Sanmenxia reservoir and the water level of Tongguan section. The forecasting results show that the model have some good characteristics such as strong learning ability, high forecast precision, fast and convenience. It provides a kind of new thought and method for forecasting the change of sedimentation in Sanmenxia reservoir, as well as other reservoirs.