Prediction of Blast Furnace Gas Generation Based on Bayesian Network
Prediction of Blast Furnace Gas Generation Based on Bayesian Network
About this item
Full title
Author / Creator
Wu, Zitao and Wu, Dinghui
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Due to the large fluctuation of blast furnace gas (BFG) generation and its complex production characteristics, it is difficult to accurately obtain its gas change rules. Therefore, this paper proposes a prediction method of BFG generation based on Bayesian network. First, the BFG generation data are divided according to the production rhythm of the...
Alternative Titles
Full title
Prediction of Blast Furnace Gas Generation Based on Bayesian Network
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b951c619b97f41e880782034264a74c5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b951c619b97f41e880782034264a74c5
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en18051182
