A novel self-supervised deep LSTM network for industrial temperature prediction in aluminum processes application

Y Lei, HR Karimi, X Chen - Neurocomputing, 2022 - Elsevier
This article studies the influence of pot temperature or electrolyte temperature in the
aluminum reduction production. Specifically, these indexes reflect the distribution of the …
被引用次数：33 相关文章

A novel self-supervised deep LSTM network for industrial temperature prediction in aluminum processes application

Y Lei, H Karimi, X Chen - NEUROCOMPUTING, 2022 - re.public.polimi.it
This article studies the influence of pot temperature or electrolyte temperature in the
aluminum reduction production. Specifically, these indexes reflect the distribution of the …

A novel self-supervised deep LSTM network for industrial temperature prediction in aluminum processes application

Y Lei, HR Karimi, X Chen - 2022 - dl.acm.org
This article studies the influence of pot temperature or electrolyte temperature in the
aluminum reduction production. Specifically, these indexes reflect the distribution of the …