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Time series analysis system, time series analysis method, and time series analysis program

机译:时间序列分析系统,时间序列分析方法和时间序列分析程序

摘要

A time series analysis system can perform computation with a less amount of computation than before when a long-term trend component and a long-term cyclic component are handled, or when a plurality of cyclic components is handled. From input time series data including a plurality of cyclic components, long-term time series data of a different series using a plurality of time spans is prepared for each of the time spans. Then, the long-term time series data for each of the time spans is removed from the original time series data, thereby preparing short-term time series data. Then, by learning through probability statistic processing that uses the long-term time series data and the short-term time series data, a model having a time span optimal for prediction of the time series data is selected as an optimal model, and is used for prediction of the time series data.
机译:当处理长期趋势分量和长期循环分量时,或者当处理多个循环分量时,时序分析系统可以以比以前更少的计算量来执行计算。从包括多个循环分量的输入时间序列数据,为每个时间跨度准备使用多个时间跨度的不同序列的长期时间序列数据。然后,从原始时间序列数据中去除每个时间跨度的长期时间序列数据,从而准备短期时间序列数据。然后,通过学习使用长期时间序列数据和短期时间序列数据的概率统计处理,选择具有用于预测时间序列数据的最佳时间跨度的模型作为最佳模型,并使用该模型。用于预测时间序列数据。

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