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...
| Published in: | Компьютерная оптика |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2024-08-01
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| Subjects: | |
| Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO48-4/480417e.html |
| _version_ | 1849681336175951872 |
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| author | I.A. Sheremet |
| author_facet | I.A. Sheremet |
| author_sort | I.A. Sheremet |
| collection | DOAJ |
| container_title | Компьютерная оптика |
| description | 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. |
| format | Article |
| id | doaj-art-cffe7012ac5d4cd29417fd3b94dea680 |
| institution | Directory of Open Access Journals |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Samara National Research University |
| record_format | Article |
| spelling | doaj-art-cffe7012ac5d4cd29417fd3b94dea6802025-08-20T02:12:37ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792024-08-0148461963210.18287/2412-6179-CO-1436Multigrammatical modelling of neural networksI.A. Sheremet0Geophysical Center of Russian Academy of SciencesThis 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.https://www.computeroptics.ru/eng/KO/Annot/KO48-4/480417e.htmlneural networksmultiset grammarsmultiset metagrammarsdeep learning |
| spellingShingle | I.A. Sheremet Multigrammatical modelling of neural networks neural networks multiset grammars multiset metagrammars deep learning |
| title | Multigrammatical modelling of neural networks |
| title_full | Multigrammatical modelling of neural networks |
| title_fullStr | Multigrammatical modelling of neural networks |
| title_full_unstemmed | Multigrammatical modelling of neural networks |
| title_short | Multigrammatical modelling of neural networks |
| title_sort | multigrammatical modelling of neural networks |
| topic | neural networks multiset grammars multiset metagrammars deep learning |
| url | https://www.computeroptics.ru/eng/KO/Annot/KO48-4/480417e.html |
| work_keys_str_mv | AT iasheremet multigrammaticalmodellingofneuralnetworks |