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System and method for deriving critical change attributes from selected and analyzed data signals over a period of time to predict future changes in conventional predictors

机译:用于在一段时间内从选定和分析的数据信号中得出关键变化属性以预测常规预测变量中未来变化的系统和方法

摘要

A system and method for deriving a critical change attribute over a period of time to predict a future change in at least one predictor, the method comprising: collecting aura data from at least one data source; Processing precursor data by evaluating at least one characteristic of aura data, generating at least one significant change signal from the processed prognostic data, predicting a future change in the predictor Assessing the critical change signal to determine the value of the change signal and optionally returning to the collection step and processing step to process the additional precursor data and returning at least one And generating a critical change attribute.
机译:一种用于在一段时间内导出临界变化属性以预测至少一个预测器中未来变化的系统和方法,该方法包括:从至少一个数据源收集光环数据;通过评估光环数据的至少一个特征,从已处理的预测数据生成至少一个重大变化信号,预测预测变量中的未来变化来处理前体数据,评估关键变化信号以确定变化信号的值,并可选地返回收集步骤和处理步骤,以处理其他前体数据并返回至少一个并生成关键更改属性。

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