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System and method for generating prediction model for real-time time-series data

机译:用于生成实时时间序列数据的预测模型的系统和方法

摘要

A system and method for generating predictive models for real-time time series data is disclosed. According to an aspect of the present invention, the step of sequentially acquiring a plurality of real-time time series data and (b) calculating the predicted value at the M+1 time point when the time-series data of the M-th time point is acquired, and (c) The step (b) includes the step of repeatedly performing at least once, wherein the step (b) comprises: (b-1) calculating a parameter and (b-2) a time series data prediction model reflecting the calculated parameter. A method for generating a predictive model for real-time time series data is provided, comprising calculating a predicted value at the M+1 time point based on the calculated data.
机译:公开了一种用于生成实时时间序列数据的预测模型的系统和方法。根据本发明的一个方面,以下步骤:顺序地获取多个实时时间序列数据;以及(b)当第M时间的时间序列数据时,在M + 1时间点计算预测值。获取点,并且(c)步骤(b)包括重复执行至少一次的步骤,其中步骤(b)包括:(b-1)计算参数和(b-2)时间序列数据预测反映计算出的参数的模型。提供了一种用于生成实时时间序列数据的预测模型的方法,该方法包括基于所计算的数据在M + 1时间点计算预测值。

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