Flatness Defect Detection and Classification in Hot Rolled Steel Strips Using Convolutional Neural Networks
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-20518-8_19
Reference39 articles.
1. Borselli, A., Colla, V., Vannucci, M.: Surface defects classification in steel products: a comparison between different artificial intelligence-based approaches. In: Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011, pp. 129–134 (2011)
2. Borselli, A., Colla, V., Vannucci, M., Veroli, M.: A fuzzy inference system applied to defect detection in flat steel production. In: IEEE World Congress on Computational Intelligence, WCCI 2010 (2010)
3. Brandemburger, J., Colla, V., Nastasi, G., Ferro, F., Schirm, C., Melcher, J.: Big data solution for quality monitoring and improvement on flat steel production. IFAC-PapersOnLine 49(10), 55–60 (2016)
4. Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123–140 (1996)
5. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)
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