兵工自动化Issue(2)：63-68,6.DOI:10.7690/bgzdh.2015.02.017
时间序列预测的发展与应用
Development and Application of Time Series Forecasting
乐天 1蔡远文 2马雪松 1王莉3
作者信息
- 1. 装备学院研究生管理大队，北京 101416
- 2. 装备学院航天装备系，北京 101416
- 3. 装备学院基础系，北京 101416
- 折叠
摘要
Abstract
In order to lay a foundation for the data forecasting of the rocket launch test and open up some ideas, the time series forecast methods are researched. The development of exponential smooth, seasonal method and autoregressive integrated moving average model, which are part of the traditional time series forecasting method, are introduced at first. And then three hot areas of time series forecasting are introduced, which is multivariate time series model, fuzzy time series mode and combination forecasting model. The future direction of application and improvement of time series forecasting are analyzed through the introduction of literatures.关键词
预测/时间序列分析/多变量时间序列/模糊时间序列/组合预测模型Key words
forecasting/time series analysis/multivariate time series/fuzzy time series/combination forecasting model分类
军事科技引用本文复制引用
乐天,蔡远文,马雪松,王莉..时间序列预测的发展与应用[J].兵工自动化,2015,(2):63-68,6.
