Control system with machine learning time-series modeling
US10379502B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 1, 2016 |
| Grant date | Aug 13, 2019 |
| Priority date | — |
| Expiry date | Feb 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.