Method of generating simulation model based on simulation data and measurement data of target and neural network device

A method of generating a simulation model based on simulation data and measurement data of a target includes classifying weight parameters, included in a pre-learning model leamed based on the simulation data, as a first weight group and a second weight group based on a degree of significance, retra...

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Hauptverfasser: MYUNG, SANG-HOON, CHOE, JAE-MYUNG, JEONG, CHANG-WOOK, JEON, YONG-WOO, MOON, HYO-WON
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:A method of generating a simulation model based on simulation data and measurement data of a target includes classifying weight parameters, included in a pre-learning model leamed based on the simulation data, as a first weight group and a second weight group based on a degree of significance, retraining the first weight group of the pre-leaming model based on the simulation data, and training the second weight group of a transfer learning model based on the measurement data, wherein the transfer learning model includes the first weight group of the pre-learning model retrained based on the simulation data.