The Analysis of the Thickness-predictive Model Based on the SVM

DOI

10.2991/nceece-15.2016.170How to use a DOI?

Keywords

hot rolling; thickness prediction; SVM; AGC;

Abstract

This paper presents a method which improves the thickness of the prediction model. At the same time, it builds up a SVM prediction model based on MATLAB simulation experiment. By comparing the simulation curves of the mechanism model and SVM regression prediction, it apparently can be seen that thickness-output precision effectively improved, which is good to on-line identification of the thickness control.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiu-ming Zhao
AU  - Yan Wang
AU  - Zhimin Bi
PY  - 2015/12
DA  - 2015/12
TI  - The Analysis of the Thickness-predictive Model Based on the SVM
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 945
EP  - 949
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.170
DO  - 10.2991/nceece-15.2016.170
ID  - Zhao2015/12
ER  -