Copertina

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

Salvato in:
Pubblicato in:Processes vol. 13, no. 7 (2025), p. 2237-2257
Autore principale: Kuldashbay, Avazov
Altri autori: Jasur, Sevinov, Barnokhon, Temerbekova, Gulnora, Bekimbetova, Ulugbek, Mamanazarov, Akmalbek, Abdusalomov, Cho Young Im
Pubblicazione:
MDPI AG
Soggetti:
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
Accesso online:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
Lascia un commento!
Entra