Implementation of Hybrid ANN-GWO Algorithm for Estimation of the Fundamental Period of RC-Frame Structures

Author:

Đorđević Filip,Marinković Marko

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Đorđević, F.: A novel ANN technique for fast prediction of structural behavior. In: 6th International Construction Management Conference, We Build the Future (2023)

2. Rahmat, B., Afiadi, F., Joelianto, E.: Earthquake prediction system using neuro-fuzzy and extreme learning machine. In: Proceedings of the International Conference on Science and Technology (2018)

3. Celik, E., Atalay, M., Kondiloğlu, A.: The earthquake magnitude prediction used seismic time series and machine learning methods. In: IV International Energy Technologies Conference (2016)

4. Asteris, P.G.: The FP4026 research database on the fundamental period of RC infilled frame structures. Data Br., pp. 704–709 (2016). https://doi.org/10.1016/j.dib.2016.10.002

5. Đorđević, F., Marinković, M.: Advanced ANN regularization-based algorithm for prediction of the fundamental period of masonry-infilled RC frames. Adv. Comput. (2023). submitted for review

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