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...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Published: |
Techno Press
2019
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/88451/ http://dx.doi.org/10.12989/scs.2019.33.3.319 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|