04-02-2021 дата публикации
Номер: US20210035340A1
Автор:
Ge Wang,
Daniel David Harrison,
Xun Jia,
Klaus Mueller,
WANG GE,
HARRISON DANIEL DAVID,
JIA XUN,
MUELLER KLAUS,
Wang, Ge,
Harrison, Daniel David,
Jia, Xun,
Mueller, Klaus
In some embodiments, a method of machine learning includes identifying, by an auto encoder network, a simulator feature based, at least in part, on a received first simulator data set and an emulator feature based, at least in part, on a received first emulator data set. The method further includes determining, by a synthesis control circuitry, a synthesized feature based, at least in part, on the simulator feature and based, at least in part, on the emulator feature; and generating, by the auto encoder network, an intermediate data set based, at least in part, on a second simulator data set and including the synthesized feature. Some embodiments of the method further include determining, by a generative artificial neural network, a synthesized data set based, at least in part, on the intermediate data set and based, at least in part, on an objective function. 1. A method of machine learning , the method comprising:identifying, by an auto encoder network, a simulator feature based, at least in part, on a received first simulator data set;identifying, by the auto encoder network, an emulator feature based, at least in part, on a received first emulator data set;determining, by a synthesis control circuitry, a synthesized feature based, at least in part, on the simulator feature and based, at least in part, on the emulator feature; andgenerating, by the auto encoder network, an intermediate data set based, at least in part, on a second simulator data set and comprising the synthesized feature.2. The method of claim 1 , further comprising:determining, by a generative artificial neural network, a synthesized data set based, at least in part, on the intermediate data set and based, at least in part, on an objective function.3. The method of claim 1 , wherein the auto encoder network comprises an input stage claim 1 , an output stage and a latent space coupled between the input stage and output stage claim 1 , the simulator feature and the emulator feature extracted from ...
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