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一种预测轨检车TQI值的等维递补方法
引用本文:芮小平,张彦敏.一种预测轨检车TQI值的等维递补方法[J].数学的实践与认识,2009,39(18).
作者姓名:芮小平  张彦敏
作者单位:1. 中国科学院研究生院,资源与环境学院,北京,100049
2. 交通部科学研究院《交通标准化》杂志社,北京,100013
基金项目:大型油气田及煤层气开发科技重大专项资助 
摘    要:构建灰色模型和ARMA模型的组合模型,并在此基础上构建等维递补模型预测轨检车TQI数据,根据预测数据与实际数据的误差实时调整预测模型.将该模型应用到轨检车TQI数值的预测上,可以分析和预测轨道状态变化趋势,为轨道维修计划的科学制定提供辅助决策.

关 键 词:灰色模型  时间序列  等维递补  TQI预测

A Dimension-fixed and Recursion-compensated Method to Predict TQI Value
RUI Xiao-ping,ZHANG Yan-min.A Dimension-fixed and Recursion-compensated Method to Predict TQI Value[J].Mathematics in Practice and Theory,2009,39(18).
Authors:RUI Xiao-ping  ZHANG Yan-min
Abstract:By using the theory of gray system and time series analysis. This paper sets up a dimension-fixed and recursion-compensated gray-time series combined model for the purpose of predicating TQI value and this model can be regulated according to the error between practical data and predicted data. Applying this model into TQI prediction, it can analyze and predict the change trends of railway track condition more precisely and provide aided decisions for making railway maintenance plan.
Keywords:grey model  time series model  dimension-fixed and recursion-compensated  TQI prediction
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