文章摘要
李永梅, 张学俭, 张立根.基于BP神经网络的宁夏水资源需求量预测Journal of Water Resources and Water Engineering[J].,2014,25(6):98-101
基于BP神经网络的宁夏水资源需求量预测
Forecast of water resources demand in Ningxia based on BP neural network
  
DOI:10.11705/j.issn.1672-643X.2014.06.020
中文关键词: 水资源; BP神经网络; 主成分分析  需水量预测; 宁夏
英文关键词: water resources  BP neural network  principal component analysis  forecast of water demond  Ningxia
基金项目:宁夏自然科学基金项目(NZ14188); 宁夏农林科学院科技创新先导资金资助项目(NKYJ-14-16)
Author NameAffiliation
LI Yongmei1, ZHANG Xuejian1, ZHANG Ligen2 (1.宁夏农林科学院 农业经济与信息技术研究所 宁夏 银川 750002 2.宁夏建筑科学研究院有限公司 宁夏 银川 750021) 
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中文摘要:
      利用宁夏2000-2010年的需水量数据,提取了人口数、GDP、工业总产值和降水量为主要影响因子,采用主成分分析法对影响水资源需求量的8个因子进行了分析。将此作为输入样本构建BP神经网络模型,用训练测试好的神经网络对2011和2012年水资源需求量进行了预测,预测结果为宁夏水资源规划管理提供参考。
英文摘要:
      By use of water demand data from 2000 to 2010 in Ningxia, this paper extracted population,GDP,gross value of industrial output and precipitation as the main influence factors and analyzed the eight factors that affected water resources demond based on the principle component analysis method.Taking the main indexes as input samples,the paper set up BP neural network model and forecasted the water resources demands in 2011 and 2012 by use of the neural network of trained and tested.The result can provide scientific reference for plan and management of water resources in Ningxia.
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