Patent · US Active

Control system with machine learning time-series modeling

US10379502B2 · kind B2 · utility

3Cited by
0References
18Claims
0Family size

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Key dates

Filing dateJun 1, 2016
Grant dateAug 13, 2019
Priority date
Expiry dateFeb 12, 2038

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N5/04
  • WIPO fieldControl
  • WIPO sectorInstruments

Abstract

An unsupervised machine learning model can make prediction on time series data. Variance of time-varying parameters for independent variables of the model may be restricted for continuous consecutive time intervals to minimize overfitting. The model may be used in a control system to control other devices or systems. If predictions for the control system are for a higher granularity time interval than the current mode, the time-varying parameters of the model are modified for the higher granularity time interval.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.