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Computational Intelligence and Neuroscience
Volume 2016, Article ID 5104907, 12 pages
http://dx.doi.org/10.1155/2016/5104907
Research Article

Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

1Computational Mechanics Laboratory, School of Pedagogical and Technological Education, Heraklion, 14121 Athens, Greece
2Department of Civil, Environmental, Aerospace and Materials Engineering (DICAM), University of Palermo, Viale delle Scienze, 90128 Palermo, Italy
3Department of Civil Engineering, Piraeus University of Applied Sciences, 250 Thivon and Petrou Ralli Street, Aigaleo, 122 44 Athens, Greece
4Department of Civil Engineering, Technological Educational Institute of Western Greece, 26334 Patra, Greece

Received 29 June 2015; Accepted 29 September 2015

Academic Editor: Christian W. Dawson

Copyright © 2016 Panagiotis G. Asteris et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Panagiotis G. Asteris, Athanasios K. Tsaris, Liborio Cavaleri, et al., “Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 5104907, 12 pages, 2016. https://doi.org/10.1155/2016/5104907.