Monte Carlo-driven reinforcement learning for smart manufacturing systems
Developing a smart control system capable of accounting for the dynamics of industrial equipment state changes and promptly detecting features of developing failures is currently a pressing issue. The goal of this study is to develop an intelligent technology for industrial equipment state diagnostics based on a modifi...
G. Samigulina, Z. Samigulina, B. Dyussenkulova et al.
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