摘要
分析了影响城镇日用水量的非线性因素,利用人工神经网络,选择影响城市日用水量的主要因素,建立城镇日用水量预测模型,并将该模型的预测效果与传统的日用水量模型预测效果进行比较,结果显示该模型的预测精度更高、所需时间更短、更适用于影响因素较多的城市日用水量的预测。
Analyzing certain non-linear factors affecting urban daily water demand, the forecasting model of urban daily water demand is founded based on the factors by artificial neural network. The effect of the model comparing with the tra- ditional models, it is evidence that the prediction accuracy of the model is so high that it is more applicable to urban daily water demand forecast.
出处
《水科学与工程技术》
2012年第5期58-60,共3页
Water Sciences and Engineering Technology
基金
西安航空学院校级研究课题11xp324
关键词
人工神经网络
日用水量
预测模型
效果
artificial neural network
daily water demand
prediction model
effect
