Prediction of oxygen consumption in steelmaking based on LAOA-TSVR

Prediction of oxygen consumption in steelmaking based on LAOA-TSVR

To solve the issue of oxygen consumption forecasting, the researchers suggested a twin support vector machine for regression (LAOA-TSVR) prediction model based on an improved arithmetic optimization algorithm. The model has beneficial generalization, high prediction accuracy, and the ability to jump...

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Bibliographic Details
Main Authors: Z. C. Ma, L. Zhang, C. Y. Shi, X. Wang, Y. K. Wang, P. L. Tao, P. Sun
Format: Article
Language:English
Published: Croatian Metallurgical Society 2024-01-01
Series:Metalurgija
Subjects:
steelmaking oxygen consumption forecasting hit rate industrial test
LAOA-TSVR
Online Access:https://hrcak.srce.hr/file/450967

Internet

https://hrcak.srce.hr/file/450967

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