2011 Chinese Control and Decision Conference (CCDC) 2011
DOI: 10.1109/ccdc.2011.5968466
|View full text |Cite
|
Sign up to set email alerts
|

Abstract: Hot metal desulphurization process is a complex and nonlinear process, final sulfur content in hot metal is difficult to measurement on-line. In order to predict the final sulfur content accurately, a model based on support vector machine (SVM) was proposed. The model cleared the outlier from modeling data through robust regression method and cleared the inconsistent data through rough set theory, and the quality of modeling data was improved. The model improved accuracy of the SVM model through immune evoluti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
references
References 2 publications
0
0
0
Order By: Relevance