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Cooperative execution of a genetic algorithm with an efficient training algorithm for data-driven model creation
Cooperative execution of a genetic algorithm with an efficient training algorithm for data-driven model creation
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机译:利用数据驱动模型创建高效训练算法的遗传算法的合作执行
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摘要
A method includes determining a trainable model to provide to a trainer, the trainable model determined based on modification of one or more models of a plurality of models. The plurality of models is generated based on a genetic algorithm and corresponds to a first epoch of the genetic algorithm. Each of the plurality of models includes data representative of a neural network. The method also includes providing the trainable model to the trainer. The method further includes adding a trained model, output by the trainer based on the trainable model, as input to a second epoch of the genetic algorithm, the second epoch subsequent to the first epoch.
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