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Problem Solver Model of Intelligent Framework for the Development of Artificial Neural Networks

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  • M. V. Kovalev

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.

Suggested Citation

  • M. V. Kovalev, 2023. "Problem Solver Model of Intelligent Framework for the Development of Artificial Neural Networks," Digital Transformation, Educational Establishment “Belarusian State University of Informatics and Radioelectronicsâ€, vol. 29(3).
    • Handle: RePEc:abx:journl:y:2023:id:780
    DOI: 10.35596/1729-7648-2023-29-3-64-74
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