| 基于混沌理论的城市用水量预测研究 |
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| 引用本文： | 陈敏,邓英伟,黄樱.基于混沌理论的城市用水量预测研究[J].计算技术与自动化,2009,28(1). |
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| 作者姓名： | 陈敏 邓英伟 黄樱 |
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| 作者单位： | 1. 湖南工学院计算机科学系,湖南,衡阳,421002
2. 衡阳市自来水总公司,湖南,衡阳,421001 |
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| 基金项目： | 湖南省教育厅资助项目，湖南省教育厅教学改革研究项目 |
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| 摘 要： | 我国城市日用水量数据较多并与诸多因素息息相关,是一个典型的混沌系统.结合BP神经网络和混沌理论,利用重构相空间的嵌入维数,来确定BP网络的结构,建立基于混沌理论的城市用水量神经网络模型.利用该模型对H市用水量进行预测研究,给出较为详细的计算结果,实例证明该方法的正确性和科学性并有一定的理论价值.
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| 关 键 词： | 混沌 城市用水量 时间序列 神经网络 |
Forecast Research of Urban Water Consumption Based on Chaos Theory |
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| CHEN Min,DEN Ying-wei,HUANG Ying.Forecast Research of Urban Water Consumption Based on Chaos Theory[J].Computing Technology and Automation,2009,28(1). |
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| Authors: | CHEN Min DEN Ying-wei HUANG Ying |
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| Affiliation: | 1.Hunan Insititute of Technology;Hengyang 421002;China;2.Heng Yang City running water head office;Hengyang 421001;China |
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| Abstract: | The data of Chinese urban everyday water consumption are affected by many factors,which is a typical chaos system.In this paper,neural network model of urban water consumption based on chaos theory is put forward by taking advantages of BP neural network and chaos theory as well as the embedding dimension of to phase space reconstruction determine the construction of the neatral network.By practical application in H city,the detailed results of calculation are put forward.Also,the model is proved to be effe... |
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| Keywords: | chaos urban water consumption time series neural network |
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