Multimodal Data-Driven Reinforcement Learning for Operational Decision-Making in Industrial Processes

被引:0
|
作者
Chenliang Liu [1 ]
Yalin Wang [2 ,1 ]
Chunhua Yang [2 ,1 ]
Weihua Gui [1 ]
机构
[1] the School of Automation, Central South University
[2] IEEE
基金
中央高校基本科研业务费专项资金资助; 中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Dear Editor, This letter proposes a multimodal data-driven reinforcement learning-based method for operational decision-making in industrial processes. Due to the frequent fluctuations of feedstock properties and operating conditions in the industrial processes, existing data-driven methods cannot effectively adjust the operational variables. In addition, multimodal data such as images, audio,
引用
收藏
页码:252 / 254
页数:3
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