FlotGAIL: An operational adjustment framework for flotation circuits using generative adversarial imitation learning

Xu Wang,Junwu Zhou,Tao Song,Daoxi Liu,Qingkai Wang

Minerals Engineering（2022）

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摘要

•FlotGAIL, an operational adjustment framework for flotation circuits is proposed.•The adjustment policy is generated by imitation learning from expert demonstrations.•To reduce the operational risk, FlotGAIL considers the uncertainty of feed conditions.•FlotGAIL has a better effect in controlling technical indicators to meet the standard.•FlotGAIL can be used as an effective tool to provide decision support for operators.

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关键词

Operational adjustment,Generative adversarial imitation learning,Bayesian neural networks,Epistemic uncertainty,Flotation

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