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An efficient approach for damage identification based on improved machine learning using PSO-SVM |
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| Authors: | Cuong-Le Thanh Nghia-Nguyen Trong Khatir Samir Trong-Nguyen Phuoc Mirjalili Seyedali Nguyen Khuong D. |
| Affiliation: | 1.Faculty of Civil Engineering, Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam ;2.Soete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 46, B-9052, Zwijnaarde, Belgium ;3.Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Fortitude Valley, Brisbane, QLD, 4006, Australia ;4.YFL (Yonsei Frontier Lab), Yonsei University, Seoul, Korea ; |
| Abstract: | Engineering with Computers - Structural health monitoring (SHM) and Non-destructive Damage Identification (NDI) using responses of structures under dynamic excitation have an imperative role in the... |
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