Evaluation using online support-vector-machines and fuzzy reasoning. Application to condition monitoring of speeds rolling process-Reference-Cited by-同舟云学术

Evaluation using online support-vector-machines and fuzzy reasoning. Application to condition monitoring of speeds rolling process

Published:2010-09 Issue:9 Volume:18 Page:1060-1068
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Bouhouche Salah,Laksir Yazid Laib,Hocine Sissaoui,Bast Jürgen

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference27 articles.

1. Quality monitoring using principal component analysis and fuzzy logic; application in continuous casting process;Bouhouche;American Journal of Applied Science,2007

2. Chen, B.J., Chang, M.W. Lin C.J., 2001. Load forecasting using support vector machines: a study on EUNITE. Competition report for EUNITE competition for smart adaptive system. (Available from: http://www.eunite.org.)

3. Fault detection and diagnosis in industrial systems;Chiang,2001

4. Advanced data mining techniques.;David,2008

5. Soft sensor development for fed batch bioreactors using support vector regression;Desai;Biochemical Engineering Journal,2006

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