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动态数据的ARMA模型预测加工质量
引用本文:张炳生,赵妙霞,张宇,姚华明.动态数据的ARMA模型预测加工质量[J].兰州理工大学学报,1989(1).
作者姓名:张炳生  赵妙霞  张宇  姚华明
作者单位:甘肃工业大学机械工程研究所 (张炳生,赵妙霞,张宇),甘肃工业大学机械工程研究所(姚华明)
摘    要:本文首先阐述了在长度计量中建立自回归滑动平均模型(Auto Regressive Moving Average Model)的理论,推导出预测的计算模型及误差估计,然后以一个生产实例,证明这个模型具有相当的置信度。

关 键 词:动态数据  自回归滑动模型  随机干扰  预报  置信度  时间序列

The Prediction of Working Quality with the Auto-Regressive Moving Average Model of the Dynamic Data
Zhang Bingsheng,Zhao Miaoxia,Zhang Yu,Yao Huaming.The Prediction of Working Quality with the Auto-Regressive Moving Average Model of the Dynamic Data[J].Journal of Lanzhou University of Technology,1989(1).
Authors:Zhang Bingsheng  Zhao Miaoxia  Zhang Yu  Yao Huaming
Institution:Institute of Mechanical Engineering
Abstract:In this peper, first the authors expounded the theory of setting an a regressive moving average model in the length measurement and derived a mathematical model for length prediction and its error estimation. And then, using an example of the production practice, this model has been proved having fair confidence.
Keywords:dynamic date  auto-regressive moving average model  random disturbance  prediction  confidence  time series  
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