Working condition recognition of fused magnesium furnace based on stochastic configuration networks and reinforcement learning

Working condition recognition of fused magnesium furnace based on stochastic configuration networks and reinforcement learning

Abstract Automatic and accurate recognition of abnormal working conditions of fused magnesia furnace is of great significance to the safe and reliable production of fused magnesia. Aiming at the defects of manual judgment of abnormal working conditions in the production process of fused magnesium fu...

Full description

Bibliographic Details
Main Authors: Weitao Li, Shuzhi Guan, Qian Zhang, Wei Sun, Qiyue Li
Format: Article
Language:English
Published: Springer 2024-03-01
Series:Industrial Artificial Intelligence
Subjects:
Fused magnesium furnace
Working conditions recognition
Stochastic configuration networks
Reinforcement learning
Data augmentation
Online Access:https://doi.org/10.1007/s44244-024-00014-w

Internet

https://doi.org/10.1007/s44244-024-00014-w

Similar Items