Прогнозування якості технологічних процесів методами штучних нейронних мереж

A set of models of feed-forward neural networks has been created to obtain operational forecasts of the quality of mechanical engineering processes. It is established that the use of the Back Propagation of Error machine learning algorithm allows for obtaining forecasted estimates for the controlled...

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Datum:2025
Hauptverfasser: Fedin, Serhii, Romaniuk, Oksana, Trishch, Roman
Format: Artikel
Sprache:English
Veröffentlicht: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2025
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Online Zugang:http://journal.iasa.kpi.ua/article/view/343080
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Назва журналу:System research and information technologies

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System research and information technologies