Research on Surface Defect Classification Algorithm of Steel Plate Based on Improved BP Neural Network

Author:

Maojie Sun

Publisher

Springer Nature Singapore

Reference4 articles.

1. Shu, Y., Fan, S., Xiong, C.: Imbalances sample classification algorithm for industrial product defect recognition based on deep learning. IPPTA: Q. J. Indian Pulp and Paper Tech. Assoc. 30(7), 255–258 (2018)

2. Wei, Y., Yang, S.: Research on fabric defect detection based on BP and SAE deep neural network. Technol. IoT & AI (2018)

3. Ge, Y.: Spark parallel optimization algorithm based on improved BP neural network. J. Phys.: Conf. Ser. 1550(3), 032044 (4pp) (2020)

4. Lan, J.: Particle swarm optimization surface defect recognition algorithm based on radial basis neural network. Electron. Sci. Technol. (2019)

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