基于时间序列算法与多层次分布式智能决策支持系统

Distributed algorithm for time series with multi-level intelligent decision support system

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。

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.