NDLI: The endpoint prediction of electric arc furnace based on least squares support vector machines

Content Provider	IEEE Xplore Digital Library
Author	Zhang Niao-na Zhang Guang-lai Yang Hong-tao
Copyright Year	2010
Description	Author affiliation: Changchun University of Technology, Institute of Electrical and Electronic Engineering, China (Zhang Niao-na; Zhang Guang-lai; Yang Hong-tao)
Abstract	In order to overcome the problem that the least square support vector machines (LS-SVM) using Gaussian kernel cannot approximate arbitrary signal with multi-scale, a scaling ker-nel for LS-SVM is proposed. LS-SVM can be used simultaneously to approximate to the target function and improve the effectiveness of generalization and approximation in the local area model. The LS-SVM with scaling kernel can approximate arbitrary signal with multi-scale, and the proposed algorithm is promising in application since only one free parameter is adjusted for optimization. Based on the characteristics of electric arc furnace(EAF) smelting, this method about the use of multi-scale decomposition of the nuclear functions of the LS-SVM is proposed to predict the endpoint of EAF,test results of an actual power system show that it has better local approximation and generalization capabilities when appropriate numbers and parameters of the LS-SVM are chosen.
Starting Page	3326
Ending Page	3329
File Size	211873
Page Count	4
File Format	PDF
ISBN	9781424477371
e-ISBN	9781424477395
DOI	10.1109/MACE.2010.5535504
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Endpoint prediction Smelting Predictive models Least squares approximation Least squares methods Support vector machines Electric arc furnace(EAF) Furnaces Space technology Neural networks Least squares support vector machine Production Scaling kernel Kernel
Content Type	Text
Resource Type	Article

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