Fundamental Frequency Prediction of Historic Masonry Towers Based on Artificial Neural Networks-Reference-Cited by-同舟云学术

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Fundamental Frequency Prediction of Historic Masonry Towers Based on Artificial Neural Networks

Published:2024-07-23 Issue: Volume: Page:1-19
ISSN:1558-3058
Container-title:International Journal of Architectural Heritage
language:en
Short-container-title:International Journal of Architectural Heritage

Author:

Nguyen Quy Thue¹^ORCID,Nguyen Khang Cong²,Livaoğlu Ramazan³

Affiliation:

1. Faculty of Civil Engineering, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

2. Construction Investment Projects Management Unit, People’s Committee of Chau Thanh District, Tay Ninh Province, Vietnam

3. Civil Engineering Department, Bursa Uludağ University, Bursa, Türkiye

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15583058.2024.2382755

Reference72 articles.

1. Abruzzese, D., A. M. Ferraioli, L. Mandara, and A. V. Miccoli. 2010, July 4–7. Structural monitoring and seismic safety of two masonry bell towers. Proceedings of The Eighth International Masonry Conference, Dresden.

2. Abruzzese, D., and A. Vari. 2004, January 4–7. Vulnerabilità sismica di torri medievali in muratura. Proceedings of XI ANIDIS conference, Genova, Italy.

3. The Effects of Adding Noise During Backpropagation Training on a Generalization Performance

4. In situ static and dynamic investigations on the “Torre Grossa” masonry tower

5. Semiempirical Formulations for Estimating the Main Frequency of Slender Masonry Towers

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