Evaluation of the convolutional neural network’s performance in classifying steel strip’s surface defects

• Main Authors: Tan, Kai Wen, Mohd. Nor, Nur Safwati, Fadil, Nor Akmal, Mat Darus, Intan Zaurah, Mohd. Yamin, Ahmad Hafizal, Mohd. Zawawi, Fazila
• Format: Book Section
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/100487/; http://dx.doi.org/10.1007/978-981-33-4597-3_44

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...