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ISBN-13: 978-1999579500 Cha, Y.-J., Choi, W., Büyüköztürk, O.: Crack damage detection using convolutional neural networks based on deep learning. Comput. Appl.
Math.
Comput.
Sci.
2015. Vol. 2, No. 10.
P. 1297 – 1301.
Abstract: A neural network (NC) model, based on deep-learning, is used to detect cracking of a shear welding joint.
The NC model is based on the fiber distortion model (FDM) and is implemented using the algorithm of computational complexity indexing and computational complexity indexing.
The experimental results of cracking measurement are presented.
The obtained results are consistent with the framework of driving learning. https://workplace.vidcloud.io/social/upload/files/2022/06/1geVAqFAM1UF9QAB7qqT_07_7ed5de2b903f6bc4f55da4249e6cd64a_file.pdf
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