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浙江大学学报（农业与生命科学版）
浙江大学学报(农业与生命科学版)  2011, Vol. 37 Issue (2): 231-236    DOI: 10.3785/j.issn.1008-9209.2011.02.017
资源与环境科学     
基于反向传播神经网络的区域水资源需求量预测——以金华市为例
刘丹丹,冯利华,王宁
浙江师范大学 地理与环境科学学院 , 浙江 金华 321004
Forecast of regional water resource demand based on back‐propagation neural network — taking Jinhua as an example
LIU Dan-dan,FENG Li-hua,WANG Ning
College of Geography and Environmental Sciences ,Zhejiang Normal University , Jinhua , Zhejiang 321004 ,China
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摘要： 为推广反向传播 (BP) 神经网络在区域水资源需求量预测方面的实际应用, 以金华市为例, 通过主成分分析法得到金华市水资源需求量的3类主要影响因子——经济发展因素、水资源开发利用因素和水环境破坏因素; 运用BP神经网络预报模型对该区域水资源总需求量进行预测, 得出金华市2010年总需水量为21.935 280 × 108 m ３ , 其结果可为与水资源相协调区域的发展规划提供参考.
Abstract:  In order to extend the actual application based on back-propagation (BP) neural network to forecast the regional water resource demand,taking Jinhua as an example,the three types of  the main factors of water resource demand in Jinhua werefigured out by principal component analysis,which included dynamic changes of economy, improvement of the water resource exploring and serious pollution of water resources. To predict the water resource demand in the region,BP neural network model was applied. Through the network learning and training,the total water resource demand in Jinhua would reach to 21.935 280  × 108 m 3 in 2010.It can provide some reference to build a plan of the regional development which is coordinated with the water resources.
出版日期: 2011-03-25
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刘丹丹
冯利华
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引用本文:

刘丹丹,冯利华,王宁. 基于反向传播神经网络的区域水资源需求量预测——以金华市为例[J]. 浙江大学学报(农业与生命科学版), 2011, 37(2): 231-236.

LIU Dan-dan,FENG Li-hua,WANG Ning. Forecast of regional water resource demand based on back‐propagation neural network — taking Jinhua as an example. Journal of Zhejiang University: Agric. & Life Sci., 2011, 37(2): 231-236.

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http://www.zjujournals.com/agr/CN/10.3785/j.issn.1008-9209.2011.02.017    或    http://www.zjujournals.com/agr/CN/Y2011/V37/I2/231

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