Classification of surface defects on hot rolled steel using adaptive learning methods

Caleb-Solly, P. and Steuer, M. (2000) Classification of surface defects on hot rolled steel using adaptive learning methods. In: Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000, Brighton, UK, 2000., pp. 103-108 Available from: http://eprints.uwe.ac.uk/19197

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Publisher's URL: http://dx.doi.org/10.1109/KES.2000.885769


Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:decision support systems, feature extraction, image processing, image segmentation, intelligent systems, learning systems, steel, supervised learning, unsupervised learning, working environment noise, adaptive systems, automatic optical inspection, decision support systems, feature extraction, hot rolling, image classification, learning, self-organising feature maps, steel industry, adaptive computing techniques, adaptive learning methods, defect label, hot rolled steel, local area surface defects, reliable decision support systems, supervised learning, surface defect classification, unsupervised learning
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:19197
Deposited By: A. Clarke
Deposited On:26 Feb 2013 17:22
Last Modified:14 Apr 2016 06:21

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