Hybrid Cloud-Based Information and Control System Using LSTM-DNN Neural Networks for Optimization of Metallurgical Production

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Bibliografiska uppgifter
I publikationen:	Processes vol. 13, no. 7 (2025), p. 2237-2257
Huvudupphov:	Kuldashbay, Avazov
Övriga upphov:	Jasur, Sevinov, Barnokhon, Temerbekova, Gulnora, Bekimbetova, Ulugbek, Mamanazarov, Akmalbek, Abdusalomov, Cho Young Im
Utgiven:	MDPI AG
Ämnen:	Estimates Information systems Predictive control Control systems Systems stability Flotation Machine learning Efficiency Accuracy Systematic errors Reagents Adaptive systems Neural networks Artificial intelligence Digital transformation Error correction & detection Copper loss Root-mean-square errors Decision making Optimization Methods Real time Energy consumption Copper Forecasting Process parameters Creeks & streams
Länkar:	Citation/Abstract Full Text + Graphics Full Text - PDF
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