混合神经网络和混沌理论的城市用水量预测研究—电脑知识与技术—文章摘要—龙源期刊网 关键词：混沌；城市用水量；时间序列；神经网络 [gap=699]key words: chaos; urban water consumption; time series; neural network
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城市用水量预测 forecast of water consumption
This paper applies line program to forecast urban water demand after technological and economical compare of many methods firstly.
本文首先对众多方法进行比较,采用线性规划法对城市用水量进行预测。
参考来源 - 中小城市给水泵站的优化Water consumption forecasting model is a mathematical representation which is based on the data pattern of urban water consumption series.
用水量预测模型是在分析城市用水量序列数据模式的基础上，综合利用统计回归的方法建立的数学表达式。
参考来源 - 城市给水系统优化调度研究综述—《南水北调与水利科技》—2008年第3期—龙源期刊网·2,447,543篇论文数据，部分数据来源于NoteExpress
本文应用多元回归的方法，对城市用水量进行预测。
This article applies the multiplelinearregression to forecast city water consumption.
采用混沌理论对城市用水量时间序列的混沌特性进行了判定。
The chaotic characters of time series of urban water consumption were judged using the chaos theory.
同时利用改进的季节性指数平滑法完成了对郑州市城市用水量的预测。
Using the improved seasonal exponential smoothing to finish the prediction of water consumption of Zhengzhou at the same time.
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