Execution of a genetic algorithm having variable epoch size with selective execution of a training algorithm
US11853893B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 1, 2021 |
| Grant date | Dec 26, 2023 |
| Priority date | — |
| Expiry date | Feb 18, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes generating, by a processor of a computing device, a first plurality of models (including a first number of models) based on a genetic algorithm and corresponding to a first epoch of the genetic algorithm. The method includes determining whether to modify an epoch size for the genetic algorithm during a second epoch of the genetic algorithm based on a convergence metric associated with at least one epoch that is prior to the second epoch. The second epoch is subsequent to the first epoch. The method further includes, based on determining to modify the epoch size, generating a second plurality of models (including a second number of models that is different than the first number) based on the genetic algorithm and corresponding to the second epoch. Each model of the first plurality of models and the second plurality of models includes data representative of neural networks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.