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基于灰色神经网络模型的径流模拟与应用
引用本文:邱林,周茂,孙晗含. 基于灰色神经网络模型的径流模拟与应用[J]. 华北水利水电学院学报, 2011, 0(6): 26-29
作者姓名:邱林  周茂  孙晗含
作者单位:华北水利水电学院
基金项目:河南省教育厅自然科学研究计划项目(2010B570002)
摘    要:通过对实测年径流系列进行相关影响因子的灰关联度分析,建立了GM(1,N)模型,利用BP神经网络模型对残差值进行拟合修正,构建了一个基于GM(1,N)的灰色神经网络预测模型.结合实例的计算结果表明,该模型可提高年径流模拟精度.

关 键 词:年径流  GM(1,N)模型  BP神经网络

Grey BP Neural Network Model for the Runoff Simulation and Application
QIU Lin,ZHOU Mao,SUN Han-han. Grey BP Neural Network Model for the Runoff Simulation and Application[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2011, 0(6): 26-29
Authors:QIU Lin  ZHOU Mao  SUN Han-han
Affiliation:(North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China)
Abstract:The GM(1,N) model was developed by the grey relation analysis on the impact factors of measured annual runoff series.Then the BP neural network was applied to fitting the residuals and modifying the predictive values in order to build the grey BP neural network prediction model which was based on the GM(1,N) model.The results of the application example showed that the model could improve the simulation precision of annual runoff.
Keywords:annual runoff  GM(1  N) model  BP neural network
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