计算机与现代化 ›› 2011, Vol. 1 ›› Issue (4): 68-70,7.doi: 10.3969/j.issn.1006-2475.2011.04.021

• 网络与通信 • 上一篇    下一篇

基于神经网络优化组合的供水预警机制

郑秀梅1,罗宪1,邓娟2   

  1. 1.重庆交通大学信息科学与工程学院,四川 重庆 400074;2.重庆交通大学河海学院,四川 重庆 400074
  • 收稿日期:2011-01-19 修回日期:1900-01-01 出版日期:2011-04-27 发布日期:2011-04-27

Supply Water Warning Mechanism Based on Optimized Combination with Neural Network

ZHENG Xiu-mei1, LUO Xian1, DENG Juan2   

  1. 1.School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2.School of Hohai Engineering, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2011-01-19 Revised:1900-01-01 Online:2011-04-27 Published:2011-04-27

摘要: 在供水预警机制理论分析的基础上,集结多种单个模型所包含的信息,进行优化组合,提出在单一模型预警结果基础上的基于神经网络的优化组合预警机制,并用误差灰色模型修正预测结果。该模型具有良好的预测及预警效果,从而为供水预警提供一种新的方法和思路。

关键词: 供水预警, 神经网络, 灰色模型, 组合预测模型

Abstract: On the basis of theoretical analysis of the early water supply warning mechanism, gathering a variety of information contained with some single models, the best way combination with single models are proposed based on the results of early warning mechanism based on the early warning of optimized combination with neural network, it can forecast error with gray model results. The model has good predictive and early warning effect, so as to provide a new water supply early warning methods and ideas.

Key words: water warning, neural network, gray model, combination forecasting model

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