Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures
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...
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Main Authors: | , , , , , , , , , |
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Format: | Article |
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Techno Press
2019
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/88451/ http://dx.doi.org/10.12989/scs.2019.33.3.319 |
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