Evaluation criterion of the neural network model of heterostructural nanoelectronic devices for predicting their electrical parameters
The paper is devoted to the neural network approach, which is proposed to be used to predict the operational parameters of heterostructural nanoscale devices. The advantage of this approach is a clear methodology for evaluating the weighting coefficients as part of a trained artificial neural networ...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Peoples’ Friendship University of Russia (RUDN University)
2022-06-01
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| Series: | RUDN Journal of Engineering Research |
| Subjects: | |
| Online Access: | https://journals.rudn.ru/engineering-researches/article/viewFile/31240/20764 |