Execution of a genetic algorithm having variable epoch size with selective execution of a training algorithm
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United States of America Patent
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Dec 26, 2023
Grant Date -
Sep 16, 2021
app pub date -
Jun 1, 2021
filing date -
Sep 6, 2017
priority date (Note) -
In Force
status (Latency Note)
Importance
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.
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International Classification(s)
- 2021 Application Filing Year
- G06N Class
- 16935 Applications Filed
- 6768 Patents Issued To-Date
- 39.97 % Issued To-Date
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- 0 Citation Count
- G06N Class
- 0 % this patent is cited more than
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