Application of a Hybrid Artificial Neural Network-Particle S…
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- DOI 10.3390/app9245534
- OpenAlex ID W2994818485
- Type Article
- Language EN
- Published 16 Dec 2019
- Volume 9 (24)
- Pages 5534
- Source Applied Sciences
- Publisher Multidisciplinary Digital Publishin…
- FWCI 24.28
- Countries 4
- Institutions 9
- Added 10 Oct 2025
- Updated 16 Oct 2026
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Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete
Article 2019 EN Gold
Channel shear connectors are known as an appropriate alternative for common shear connectors due to having a lower manufacturing cost and an easier installation process. The behavior of channel connectors is generally determined through conducting experiments. However, these experiments are not only costly but also time-consuming. Moreover, the impact of other parameters cannot be easily seen in t…
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10 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Mahdi Shariati | Ton Duc Thang University (VN) | |
| 2 | Mohammad Saeed Mafipour | University of Tehran (IR) | |
| 3 | Peyman Mehrabi | K. N. Toosi University of Tech… (IR) | |
| 4 | Alireza Bahadori | University of Tehran (IR) | |
| 5 | Yousef Zandi | Islamic Azad University of Tab… (IR) | |
| 6 | Musab Nimir Ali Salih | University of Technology Malay… (MY) | — |
| 7 | Hoang Nguyen Corresponding | Duy Tan University (VN) | |
| 8 | Jie Dou Corresponding | Nagaoka University of Technolo… (JP) | |
| 9 | Xuan Song | The University of Tokyo (JP) | |
| 10 | Poi Ngian Shek | UTM Construction Research Cent… (MY) University of Technology Malay… (MY) |
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