Neural network modeling of critical tempe-ratures for steel pitting.
The task of creating mathematical software for constructing quantitative dependency models based on forward propagation neural networks has been solved in the work. A modification of method for dropping out neurons is proposed, which better prevents the model from overfitting. The modified method ta...
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| Datum: | 2019 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | Ukrainian |
| Veröffentlicht: |
Інститут проблем реєстрації інформації НАН України
2019
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| Schlagworte: | |
| Online Zugang: | http://drsp.ipri.kiev.ua/article/view/179699 |
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| Назва журналу: | Data Recording, Storage & Processing |