Support Vector Machine with Robust Low-Rank Learning for Multi-Label Classification Problems in the Steelmaking Process

Support Vector Machine with Robust Low-Rank Learning for Multi-Label Classification Problems in the Steelmaking Process

In this paper, we present a novel support vector machine learning method for multi-label classification in the steelmaking process. The steelmaking process involves complicated physicochemical reactions. The end-point temperature is the key to the steelmaking process. According to the initial furnac...

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Bibliographic Details
Main Authors: Qiang Li, Chang Liu, Qingxin Guo
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Mathematics
Subjects:
steelmaking process
multi-label classification
support vector machine
robust low-rank learning
practical problem
Online Access:https://www.mdpi.com/2227-7390/10/15/2659

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