GSPSO-LRF-ELM: Grid Search and Particle Swarm Optimization-Based Local Receptive Field-Enabled Extreme Learning Machine for Surface Defects Detection and Classification on the Magnetic Tiles
Joint Authors
Xu, Xinying
Xie, Jun
Zhang, Jin
Liang, Fengmei
Yang, Yunyun
Dong, Junjie
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Machine vision-based surface defect detection and classification have always been the hot research topics in Artificial Intelligence.
However, existing work focuses mainly on the detection rather than the classification.
In this article, we propose GSPSO-LRF-ELM that is the grid search (GS) and the particle swarm optimization- (PSO-) based local receptive field-enabled extreme learning machine (ELM-LRF) for the detection and classification of the surface defects on the magnetic tiles.
In the ELM-LRF classifier, the balance parameter C and the number of feature maps K via the GS algorithm and the initial weight Ainit via the PSO algorithm are optimized to improve the performance of the classifier.
The images used in the experiments are from the dataset collected by Institute of Automation, Chinese Academy of Sciences.
The experiment results show that the proposed algorithm can achieve 96.36% accuracy of the classification, which has significantly outperformed several state-of-the-art approaches.
American Psychological Association (APA)
Xie, Jun& Zhang, Jin& Liang, Fengmei& Yang, Yunyun& Xu, Xinying& Dong, Junjie. 2020. GSPSO-LRF-ELM: Grid Search and Particle Swarm Optimization-Based Local Receptive Field-Enabled Extreme Learning Machine for Surface Defects Detection and Classification on the Magnetic Tiles. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1153063
Modern Language Association (MLA)
Xie, Jun…[et al.]. GSPSO-LRF-ELM: Grid Search and Particle Swarm Optimization-Based Local Receptive Field-Enabled Extreme Learning Machine for Surface Defects Detection and Classification on the Magnetic Tiles. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1153063
American Medical Association (AMA)
Xie, Jun& Zhang, Jin& Liang, Fengmei& Yang, Yunyun& Xu, Xinying& Dong, Junjie. GSPSO-LRF-ELM: Grid Search and Particle Swarm Optimization-Based Local Receptive Field-Enabled Extreme Learning Machine for Surface Defects Detection and Classification on the Magnetic Tiles. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1153063
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153063