A comparative study of deep and shallow predictive techniques for hot metal temperature prediction in blast furnace ironmaking.

Computers & Chemical Engineering(2019)

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摘要
•In blast furnace ironmaking, it is crucial to predict hot metal temperature (HMT).•Deep and shallow predictive methods were applied to an industrial blast furnace.•Both the current time and multi-step-ahead HMT predictions were investigated.•The prediction performance and computational time of ten methods were evaluated.
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关键词
Soft-sensor,Virtual-sensor,Deep learning,Shallow learning,Hot metal temperature,Blast furnace ironmaking
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