A hybrid support vector regression with multi-domain features for low-velocity impact localization on composite plate structure
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Prior researchers have demonstrated the successful application of the SVR algorithm within the area of composite structures.
“Notably, prior researchers have demonstrated the successful application of the SVR algorithm within the area of composite structures [52,53,65].”
From Machine Learning Algorithms for Prediction and Characterization of Cohesive Zone Parameters for Mixed-Mode Fracture (2024) · cites this paper as [52]
Artificial Neural Networks (ANNs), Random Forest (RF), and Support Vector Regression (SVR) have shown remarkable efficacy in different applications.
“Among the various ML algorithms, Artificial Neural Networks (ANNs), Random Forest (RF), and Support Vector Regression (SVR) have shown remarkable efficacy in different applications.”
From Machine Learning Algorithms for Prediction and Characterization of Cohesive Zone Parameters for Mixed-Mode Fracture (2024) · cites this paper as [52]
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Ramian, A., & Elhajjar, R. (2024) · Journal of Composites Science · doi:10.3390/jcs8080326 · Cited by 8 · see citing works
“Notably, prior researchers have demonstrated the successful application of the SVR algorithm within the area of composite structures [52,53,65].”
- Authors
- Liu, Q., Wang, F., Li, J., & Xiao, W.
- Affiliations
- China University of Petroleum, East China (CN)
- Shandong University of Science and Technology (CN)
- Corresponding author
- Xiao, Wensheng
- Venue
- Mechanical Systems and Signal Processing
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 154
- Pages
- 107547
- ISSN
- 0888-3270 (ISSN-L)
- OpenAlex
- W3118519215
- Cited by
- 48
- References
- 53
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 11 · 2023: 6 · 2022: 8 · 2021: 4
- FWCI
- 3.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mechanical Systems and Signal Processing (publishedVersion)
- Funders
- Ministry of Industry and Information Technology of the People's Republic of China
- Topics
- Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Fiber Optic Sensors
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Keywords
- support vector regression, bat algorithm, multi-domain feature extraction, empirical mode decomposition, fiber Bragg grating sensors, carbon fiber reinforced polymer, ship structures, time-frequency features
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