Modeling of thermal processes is associated with the need to use large technical resources. For this purpose, hybrid supercomputers or mainframes are most often used. Recently, neural networks have been used to solve such problems. In the framework of this study, the technologies for modeling thermal processes are analyzed. Neural network technology is chosen as the main one. On a practical example the technological process of heat treatment is modeled. The results of neural network operation are shown. The authors express their gratitude to the students and teachers of St. Petersburg Mining University for their help in this research.
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Skreblo et al. (2024) studied this question.
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