| 改进BP网络模型在年用水量预测中的应用 |
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| 引用本文： | 路志强,李书全,赵良英,甄巧莲. 改进BP网络模型在年用水量预测中的应用[J]. 水科学与工程技术, 2005, 0(1): 18-20 |
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| 作者姓名： | 路志强 李书全 赵良英 甄巧莲 |
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| 作者单位： | 河北农业大学,城乡建设学院02级,河北,保定,071001;天津财经大学,天津,300000 |
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| 摘 要： | 考虑城市用水量受众多因素影响，具有系统稳定性和非线性的特点，利用人工神经网络理论建立了改进BP网络预测模型，通过实例证明了该模型是一种行之有效的用水量预测模型。
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| 关 键 词： | 城市用水量 预测 人工神经网络 模型 |
| 文章编号： | 1672-9900(2005)01-0018-03 |
| 修稿时间： | 2004-10-18 |
Application of Improved BP Model for Forecasting Annual Water Demand |
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| LU Zhi-qiang,LI Shu-quan,ZHAO Liang-ying,MA Chun-jie. Application of Improved BP Model for Forecasting Annual Water Demand[J]. Water Sciences and Engineering Technology, 2005, 0(1): 18-20 |
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| Authors: | LU Zhi-qiang LI Shu-quan ZHAO Liang-ying MA Chun-jie |
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| Affiliation: | LU Zhi-qiang1,LI Shu-quan2,ZHAO Liang-ying1,MA Chun-jie1 |
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| Abstract: | In view of urban water consumption's being affected by many factors and its system is stability and nonlinear characteristic. A improved BP forecast model therefore built using the artificial neural network theory. Typical examples proved that the model is a very accurate water demand forecast model. |
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| Keywords: | Water demand forecasting artificial neural network model |
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