改进BP网络模型在年用水量预测中的应用

Application of Improved BP Model for Forecasting Annual Water Demand

考虑城市用水量受众多因素影响,具有系统稳定性和非线性的特点,利用人工神经网络理论建立了改进BP网络预测模型,通过实例证明了该模型是一种行之有效的用水量预测模型。

In view of urban water consumption's being affected by many factors and its system is stability and nonlinear characteristic. A improved BP forecast model therefore built using the artificial neural network theory. Typical examples proved that the model is a very accurate water demand forecast model.