Multigrammatical modelling of neural networks
This paper is dedicated to the proposed techniques of modelling artificial neural networks (NNs) by application of the multigrammatical framework. Multigrammatical representations of feed-forward and recurrent NNs are described. Application of multiset metagrammars to modelling deep learning of NNs...
| 發表在: | Компьютерная оптика |
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| 主要作者: | |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
Samara National Research University
2024-08-01
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| 主題: | |
| 在線閱讀: | https://www.computeroptics.ru/eng/KO/Annot/KO48-4/480417e.html |
| 總結: | This paper is dedicated to the proposed techniques of modelling artificial neural networks (NNs) by application of the multigrammatical framework. Multigrammatical representations of feed-forward and recurrent NNs are described. Application of multiset metagrammars to modelling deep learning of NNs of the aforementioned classes is considered. Possible developments of the announced approach are discussed. |
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| ISSN: | 0134-2452 2412-6179 |