| 城市用水量BP网络预测模型 |
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| 引用本文： | 袁一星,兰宏娟,赵洪宾,高金良,张爱民. 城市用水量BP网络预测模型[J]. 哈尔滨建筑大学学报, 2002, 35(3): 56-58 |
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| 作者姓名： | 袁一星 兰宏娟 赵洪宾 高金良 张爱民 |
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| 作者单位： | 1. 哈尔滨工业大学市政环境工程学院,黑龙江,哈尔滨,150090
2. 东北林业大学土木工程学院,黑龙江,哈尔滨,150040 |
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| 摘 要： | 城市用水量的预测结果，对于城市规划，供水系统的管理及改扩建有着重要的意义。寻求科学合理的预测模型是保障预测结果准确可靠的关键。针对这一问题，利用人工神经网络理论建立了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 人工神经网络 反向传播 预测模型 |
| 文章编号： | 1006-6780(2002)03-0056-03 |
| 修稿时间： | 2001-10-09 |
BP model for forecasting urban water consumption |
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| YUAN Yi-xing ,LAN Hong-juan ,ZHAO Hong-bin ,GAO Jin-liang ,ZHANG Ai-min. BP model for forecasting urban water consumption[J]. Journal of Harbin University of Civil Engineering and Architecture, 2002, 35(3): 56-58 |
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| Authors: | YUAN Yi-xing LAN Hong-juan ZHAO Hong-bin GAO Jin-liang ZHANG Ai-min |
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| Affiliation: | YUAN Yi-xing 1,LAN Hong-juan 1,ZHAO Hong-bin 1,GAO Jin-liang 1,ZHANG Ai-min 2 |
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| Abstract: | It is of great significance for city planning and management of w ater supply system to forecast urban water consumption,and the key to accurate forecast is to find out scientific and reasonable forecast model.A BP forecast model therefore built using the artificial neural network theory.Typical examp les proved that the model is a very accurate water consumption forecast model. |
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| Keywords: | urban water consumption forecast artificial neural network reverse propagate model |
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