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...

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Bibliographic Details
Published in:Компьютерная оптика
Main Author: I.A. Sheremet
Format: Article
Language:English
Published: Samara National Research University 2024-08-01
Subjects:
neural networks
multiset grammars
multiset metagrammars
deep learning
Online Access:https://www.computeroptics.ru/eng/KO/Annot/KO48-4/480417e.html
Description
Summary: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.
ISSN:0134-2452
2412-6179

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