| 基于小波支持向量机的城市用水量非线性组合预测 |
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| 引用本文： | 李黎武,施周.基于小波支持向量机的城市用水量非线性组合预测[J].中国给水排水,2010,26(1). |
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| 作者姓名： | 李黎武 施周 |
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| 作者单位： | 1. 湖南城市学院,城市建设系,湖南,益阳,413000
2. 湖南大学,土木工程学院,湖南,长沙,410082 |
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| 基金项目： | 湖南省自然科学基金资助项目(06JJ50095);;湖南省教育厅重点科学研究项目(06A011) |
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| 摘 要： | 基于支持向量机(SVM)和小波框架理论,建立了城市用水量非线性组合预测模型,介绍了该模型的结构设计方法,并采用SMO算法对模型进行求解。实例表明,该模型具有很强的泛化能力与适应数据和函数变化的能力,能够有效提高预测精度,可用于供水系统调度的用水量预测。
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| 关 键 词： | 城市用水量 非线性组合预测 支持向量机 小波函数 核函数 |
Nonlinear Combination Forecasting of Urban Water Consumption Based on Wavelet Support Vector Machine |
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| LI Li-wu,SHI Zhou.Nonlinear Combination Forecasting of Urban Water Consumption Based on Wavelet Support Vector Machine[J].China Water & Wastewater,2010,26(1). |
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| Authors: | LI Li-wu SHI Zhou |
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| Affiliation: | 1.Department of City Construction;Hunan City College;Yiyang 413000;China;2.College of Civil Engineering;Hunan University;Changsha 410082;China |
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| Abstract: | A nonlinear combination forecasting model of urban water use was established based on support vector machine and wavelet frame theory.The design method of the model is introduced,and the model is solved using SMO algorithm.The application example shows that the model has strong generalization capacity and adaptability to change of data and functions,it can effectively improve the forecasting accuracy and be used for forecasting water use in dispatching of water supply system. |
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| Keywords: | urban water consumption nonlinear combination forecasting support vector machine wavelet function kernel function |
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