【摘要】 根据城市用水量的影响因素及特点,基于BP神经网络,建立了一种综合多元分析特点和时间序 列分析的动态水量预测模型.经沈阳市实例验证,该模型预测误差小,可满足供水系统调度的实际需要.更多还原

【Abstract】 Based on BP model of the artificial neural network, according to the factors and features of urban water supply, a dynamic water consumption forecasting model with the characteristics of both regression and time series is developed. Experiments at Shenyang City show that the forecasting error of the model is small and the model can meet the practical requirement of water-supply dispatch system.更多还原