Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

• Main Authors: Shariati, Mahdi, Mafipour, Mohammad Saeed, Mehrabi, Peyman, Zandi, Yousef, Dehghani, Davoud, Bahadori, Alireza, Shariati, Ali, Nguyen, Thoi Trung, Salih, Musab N. A., Shek, Poi Ngian
• Format: Article
• Published: Techno Press 2019
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/88451/; http://dx.doi.org/10.12989/scs.2019.33.3.319

This study is aimed to predict the behaviour of channel shear connectors in composite floor systems at different temperatures. For this purpose, a soft computing approach is adopted. Two novel intelligence methods, including an Extreme Learning Machine (ELM) and a Genetic Programming (GP), are devel...