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Abstract <p>Development of neural networks enables the solution of a wide variety of problems, leading humanity to increasingly implement artificial intelligence-based products in various fields of industry and technology. Modern technological solutions enable solutions for associative information retrieval, visual image recognition, product quality control, event forecasting, and many other tasks. This paper explores the potential of using neural networks to improve the accuracy and efficiency of key repair stages of machine parts using polymer composite materials (PCMs).</p>

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Evaluation of Potential of Neural Networks in the Repair of Machine Parts Using Polymer Composite Materials

  • 期刊论文

  • 发表日期：

    2026年1月1日

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  • A. A. Baurov

摘要

Abstract

Development of neural networks enables the solution of a wide variety of problems, leading humanity to increasingly implement artificial intelligence-based products in various fields of industry and technology. Modern technological solutions enable solutions for associative information retrieval, visual image recognition, product quality control, event forecasting, and many other tasks. This paper explores the potential of using neural networks to improve the accuracy and efficiency of key repair stages of machine parts using polymer composite materials (PCMs).