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

灰色神经网络耦合模型在河套灌区引黄水量预测中的应用
引用本文:张丽,白雪莲,王悦钰,安可君.灰色神经网络耦合模型在河套灌区引黄水量预测中的应用[J].安徽农业科学,2012,40(1).
作者姓名:张丽  白雪莲  王悦钰  安可君
作者单位:华北水利水电学院水利学院,河南郑州,450011
摘    要:针对河套灌区22年净引水量的变化特点,在建立灰色GM(1,1)模型的基础上,结合BP神经网络预测法建立灰色神经网络耦合模型,并通过Matlab编程实现。实例结果表明,耦合模型的预测精度明显优于单一灰色GM(1,1)模型,可应用于实际生产中。

关 键 词:GM(  )模型  BP神经网络  耦合模型  河套灌区

Application of Gray and Neural Network Coupling Model for the Prediction of Water Diversion Demand from Yellow River in Hetao Irrigation Areas
Abstract:According to the change characteristic of the net water diversion demand data of Hetao irrigation areas for the past 22 years,and on the basis of traditional grey GM(1,1) model and BP neutral network method,the gray and neural network coupling model was constructed and completed by Matlab programs.Case study indicated that the accuracy of prediction result of coupling model was obviously better than that of a single gray GM(1,1) model and it could be cited in the actual production.
Keywords:GM(1  1)model  BP neural network  Coupling model  Hetao irrigation areas
本文献已被 CNKI 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