Comprehensive system based on a DNN and LSTM for predicting sinter composition-Reference-Cited by-同舟云学术

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Comprehensive system based on a DNN and LSTM for predicting sinter composition

Published:2020-10 Issue: Volume:95 Page:106574
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Liu Song,Liu Xiaojie,Lyu Qing^ORCID,Li Fumin

Funder

Hebei Province Graduate Innovation Project, China

Hebei Province High-End Iron and Steel Metallurgical Joint Research Fund Project, China

Hebei Province Higher Education Technology Research Project, China

Publisher

Elsevier BV

Subject

Software

Reference44 articles.

1. Reduction behavior of panzhihua titanomagnetite concentrates with coal;Hu;Metall. Mater. Trans. B,2013

2. Phase transformation and reduction kinetics during the hydrogen reduction of ilmenite concentrate;Si;Int. J. Min. Met. Mater.,2012

3. Development of intensified technologies of vanadium-bearing titanomagnetite smelting;Fu;J. Iron Steel Res. Int.,2011

4. Progress in technologies of vanadium-bearing titanomagnetite smelting in PanGang;Fu;Steel Res. Int.,2011

5. A mathematical model for the prediction of granule size distribution for multicomponent sinter feed;Waters;ISIJ Int.,1989

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