| 基于时间序列算法与多层次分布式智能决策支持系统 |
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| 引用本文： | 薛静. 基于时间序列算法与多层次分布式智能决策支持系统[J]. 计算机工程与设计, 2007, 28(15): 3645-3646,3664 |
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| 作者姓名： | 薛静 |
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| 作者单位： | 第二炮兵工程学院,陕西,西安,710025 |
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| 摘 要： | 时间序列分析方法的研究和应用飞速发展,越来越多的工程实际工作者开始研究并应用时间序列分析法.采用了博克思-詹金斯预测方法,主要对随机时间序列预测模型进行详细的研究,对时间序列数据进行分析,从中获取所蕴含的关于生成时间序列的系统的演化规律,以完成对系统的观测及其未来行为的预测,这在工程应用中具有一定的价值和意义.
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| 关 键 词： | 随机时间序列算法 自回归模型 模式识别 |
| 文章编号： | 1000-7024（2007）15-3645-02 |
| 修稿时间： | 2006-12-12 |
Distributed algorithm for time series with multi-level intelligent decision support system |
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| XUE Jing. Distributed algorithm for time series with multi-level intelligent decision support system[J]. Computer Engineering and Design, 2007, 28(15): 3645-3646,3664 |
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| Authors: | XUE Jing |
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| Abstract: | In recent years,the time series analysis method of rapid application development.More and more workers started to study engineering and time series analysis.The Bokesai-Jenkins forecasting and time series prediction models are mainly detailed study analysis of time-series data,which contains obtained from the production time on the evolution of the system.To finish the systematic observation and prediction of future behavior,this application has certain value and significance. |
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| Keywords: | random sequence algorithms regression models pattern recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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