首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于GN-BFGS算法的青铜峡灌区退水量预测
引用本文:史彦文,费良军,方树星.基于GN-BFGS算法的青铜峡灌区退水量预测[J].西安理工大学学报,2005,21(3):314-317.
作者姓名:史彦文  费良军  方树星
作者单位:西安理工大学,水资源研究所,陕西,西安,710048
基金项目:黄河水利委员会科技攻关资助项目(黄国科[2002]第3号).
摘    要:分析了神经网络的GN-BFGS学习算法的基本工作原理及其方法,并利用该方法建立了宁夏青铜峡灌区退水量预测模型.预测结果表明:用该算法建立的干旱区灌区退水量预测模型具有良好的预测效果.

关 键 词:人工神经网络  GN-BFGS算法  青铜峡灌区  退水量预报
文章编号:1006-4710(2005)03-0314-04
收稿时间:2005-01-03
修稿时间:2005年1月3日

Prediction of Drainage Water Volume in Qingtong Gorge Irrigation District Based on GN-BFGS Algorithm
SHI Yan-wen,FEI Liang-jun,FANG Shu-xing.Prediction of Drainage Water Volume in Qingtong Gorge Irrigation District Based on GN-BFGS Algorithm[J].Journal of Xi'an University of Technology,2005,21(3):314-317.
Authors:SHI Yan-wen  FEI Liang-jun  FANG Shu-xing
Abstract:This paper analyses the basic working principle and its method of GN-BFGS learning algorithm of neural network, on the basis of using this method, the model for prediction of drainage water volume in Qingtong Gorge Irrigation District of Ningxia Hui Autonomous Region is established. The predicted results indicate that the model for prediction of drainage water volume in the irrigation district of the arid areas established by using this algorithm is of better results in prediction effect.
Keywords:artificial neural network  GN-BFGS algorithm  Qingtong Gorge Irrigation District  drainage water volume prediction
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号