Evaluation of the convolutional neural network’s performance in classifying steel strip’s surface defects
Steel strip plays a vital role in many industrial fields. Its defects will impact the manifestation of the product and also reduce the features of the product, resulting in a huge economic loss. Deep learning algorithms, such as Convolutional Neural Network (CNN), have successfully been applied to i...
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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/96006/ http://dx.doi.org/10.1007/978-981-33-4597-3_44 |
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