Problem Solver Model of Intelligent Framework for the Development of Artificial Neural Networks
https://doi.org/10.35596/1729-7648-2023-29-3-64-74
Abstract
The article describes an approach to implementing the ability of intelligent systems to self-learn through an intelligent framework for the development of artificial neural networks. A method of interaction between intelligent systems and a framework based on a library of reusable components is proposed, which allows to automatically design and train artificial neural networks based on a given problem specification. Based on the analysis of the activity of developers of artificial neural networks, a model of the problem solver of such a framework is described in the form of a hierarchy of actions for the development of artificial neural networks.
About the Author
M. V. Kovalev
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Kovalev Mikhail Vladimirovich - Senior Lecturer at the Department of Intelligent Information Technologies
220013, Minsk, P. Brovki St., 6
Tel.: +375 29 721-60-63
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Review
For citations:
Kovalev M.V. Problem Solver Model of Intelligent Framework for the Development of Artificial Neural Networks. Digital Transformation. 2023;29(3):64-74. (In Russ.) https://doi.org/10.35596/1729-7648-2023-29-3-64-74
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