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2008

Defect Prediction in Hot Strip Rolling Using ANN and SVM

13 years 4 months ago
Defect Prediction in Hot Strip Rolling Using ANN and SVM
One of the largest factors affecting the loss for steel manufacturing are defects in the steel strips produced. Therefore the prediction of these defects forehand would be very important. In this study we used classifiers - feedforward neural networks and a support vector machine - to solve this problem. We also used different kinds of feature selection methods such as a preprocessing step for the classifiers. As a result, these two classifiers confirmed the same grade of classification error in this study. Keywords. Hot steel rolling, feature selection, classification, neural networks, support vector machine
Manu Hietaniemi, Ulla Elsilä, Perttu Laurinen
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2008
Where SCAI
Authors Manu Hietaniemi, Ulla Elsilä, Perttu Laurinen, Juha Röning
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