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

Gardado en:

Detalles Bibliográficos
Publicado en:	Processes vol. 13, no. 7 (2025), p. 2237-2257
Autor Principal:	Kuldashbay, Avazov
Outros autores:	Jasur, Sevinov, Barnokhon, Temerbekova, Gulnora, Bekimbetova, Ulugbek, Mamanazarov, Akmalbek, Abdusalomov, Cho Young Im
Publicado:	MDPI AG
Materias:	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
Acceso en liña:	Citation/Abstract Full Text + Graphics Full Text - PDF
Etiquetas:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Sexa o primeiro en deixar un comentario!