Steel defect classification with Max-Pooling Convolutional Neural Networks

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2012, Pages

  Masci, Jonathan ^a   Meier, Ueli ^a   Ciresan, Dan ^a   Schmidhuber, Jürgen ^a   Fricout, Gabriel ^b  

^a DALLE MOLLE INSTITUTE FOR ARTIFICIAL INTELLIGENCE IDSIA   (Switzerland)

^b Arcelor Mittal Maizières Research SA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TASKS; CONVOLUTIONAL NEURAL NETWORK; ERROR RATE; FEATURE DESCRIPTORS; PIXEL INTENSITIES; PRODUCTION LINE; STEEL DEFECT; SVM CLASSIFIERS;

DEFECTS;

NEURAL NETWORKS;

EID: 84865073494     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2012.6252468     Document Type: Conference Paper

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