降水量的BP人工神经网络预测模型及其应用

由于影响因素的复杂性 ,预测降水量具有相当的难度。在假设区域长时间内降水量和蒸发量保持平衡的基础上 ,用 BP人工神经网络建立了陕西省汉中市的降水量预测模型 ,根据前 3个月降水量和蒸发量对降水量资料进行了模拟预测 ,结果认为其准确率为 84% ,合格率为 10 0 %。

Because of the complexity of influencial factors,it is very difficult to forecast the quantity of precipitation.Based on the quantity balance of evaporation and precipitation in a long time in a area,BP artificial neural network model was applied to build forecast model of quantity of precipitation.It is based on former three months quantity of precipitation and evaporation to simulate and forecast this months quantity of precipitation.The result is analyzed and indicates that the ratio of nicety is 84% a...