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基于BP神经网络方法计算灌区农业耗水量的研究
引用本文:石建勋,刘新荣,王艳芳,周志轩. 基于BP神经网络方法计算灌区农业耗水量的研究[J]. 工程勘察, 2011, 0(5): 41-46
作者姓名:石建勋  刘新荣  王艳芳  周志轩
作者单位:重庆大学;宁夏大学;
基金项目:国家自然科学基金创新群体基金(50621403); 宁夏自然科学基金资助项目(NZ0941); 浙江省交通厅科技计划项目(2009H11)
摘    要:位于黄河流域上游干旱半干旱的青铜峡灌区是宁夏工农业生产和社会经济发展的重要地区.灌区耗水量占宁夏引黄灌区耗水量的绝大部分,因此,对该灌区耗水量研究非常必要.本论文在查阅大量国内外相关文献资料的基础上,针对灌区农业耗水量的影响因素做了分析,将引水量、排水量、降雨量、蒸发量和地下水位埋深作为最主要的影响因子,建立青铜峡河东...

关 键 词:BP神经网络  灌区  耗水量  预测模型

BP neural network method based on agriculture water consumption of irrigation
Shi Jianxun,Liu Xinrong,Wang Yanfang,Zhou Zhixuan. BP neural network method based on agriculture water consumption of irrigation[J]. Geotechnical Investigation & Surveying, 2011, 0(5): 41-46
Authors:Shi Jianxun  Liu Xinrong  Wang Yanfang  Zhou Zhixuan
Affiliation:Shi Jianxun1,Liu Xinrong1,Wang Yanfang2,Zhou Zhixuan2(1.Chongqing university,Chongqing 400045,China,2.Ningxia university,yinchuan 750021,China)
Abstract:Located in the upper reaches of the Yellow river in Ningxia Qing Tongxia industrial and agricultural production and irrigation is the essence of regional socio-economic development.Ningxia irrigation water accounts for the vast majority of irrigation water consumption,so the amount of irrigation water is necessary.In this thesis,access to a large number of domestic and foreign literature,based on water consumption for irrigation of agricultural factors were analyzed,the amount of water,discharge,rainfall,ev...
Keywords:BP neural network  irrigation  water consumption  prediction model  
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