@inproceedings{45ac742fe3054ffeb4a43da30d0a9e3c,
title = "The Whale Optimization Algorithm Based ANN for Predicting the Fundamental Period of Light-Frame Wood Buildings",
abstract = "The paper introduces the convenient and reliable method for the period estimate of wood buildings employing Artificial Neural Network (ANN) combined with Whale Optimization Algorithm (WOA). The algorithmic model developed using Feed Forward (FF) networks is based on the physical parameters of 47 light-frame wood buildings whose dynamic properties were measured using the ambient vibration testing method. The proposed model produces a better period estimate than the model available in the National Building Code of Canada (NBCC, 2015).",
keywords = "Feed forward, Neural network, Period formula, Whale optimization, Wood buildings",
author = "M. Nikoo and G. Hafeez",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 7th International Conference on Architecture, Materials and Construction, ICAMC 2021 ; Conference date: 27-10-2021 Through 29-10-2021",
year = "2022",
month = jan,
day = "1",
doi = "10.1007/978-3-030-94514-5_24",
language = "English",
isbn = "9783030945138",
series = "Lecture Notes in Civil Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "230--236",
editor = "Paulo Mendon{\c c}a and Corti{\c c}os, {Nuno Dinis}",
booktitle = "Proceedings of the 7th International Conference on Architecture, Materials and Construction - ICAMC 2021",
address = "Germany",
}