Systems and methods for modifying device operation based on datasets generated using machine learning techniques
US11811598B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 14, 2022 |
| Grant date | Nov 7, 2023 |
| Priority date | — |
| Expiry date | Oct 14, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/16
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.