Modeling of steelmaking process with effective machine learning techniques. Issue 10 (15th June 2015)

• Record Type: Journal Article
• Authors: Laha, Dipak; Ren, Ye; Suganthan, P.N.
• Is Part Of: Expert systems with applications. Volume 42:Issue 10(2015)
• Page Start: 4687
• Page End: 4696
• Publication Date: 2015-06-15
• Subjects: Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2015.01.030
• Languages: English
• ISSNs: 0957-4174

Abstract

<abstract xml:lang="en" abstract-type="author-highlights" id="ab005"> <title id="st090">Highlights</title> <sec> <p id="sp0005"> <list id="l0005"> <list-item id="o0005"> <label></label> <p id="p0220">Machine learning methods on open-hearth steel making process prediction.</p> </list-item> <list-item id="o0010"> <label></label> <p id="p0225">Predicted yield based on 4 machine learning methods has very low errors.</p> </list-item> <list-item id="o0015"> <label></label> <p id="p0230">Best performance is achieved by SVR.</p> </list-item> </list> </p> </sec> </abstract>