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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urban water consumption forecast 城市用水量预测
predicting urban water consumption 城市用水量预测
urban water consumption forecasting 城市用水量预测
Chaos-prediction in Urban Water Consumption 城市需水量的混沌预测
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
The chaotic characters of time series of urban water consumption were judged using the chaos theory.
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 improved method was compared with the traditional method in the case of short-term forecasting for urban water consumption.
通过对城市用水量短期预测的实例研究，将改进算法与传统算法进行比较。
Urban water consumption forecasting is the basis of the rational exploitation, management, water pollution control, integrated using and programming in water resource.
用水量预测是水资源合理开发、管理、水污染控制及综合利用规划的基础。
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