Predicting the ultimate axial capacity of uniaxially loaded cfst columns using multiphysics artificial intelligence
The object of this research is concrete-filled steel tubes (CFST). The article aimed to develop a prediction Multiphysics model for the circular CFST column by using the Artificial Neural Network (ANN), the Adaptive Neuro-Fuzzy Inference System (ANFIS) and the Gene Expression Program (GEP). The data...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Published: |
MDPI
2022
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121715454&doi=10.3390%2fma15010039&partnerID=40&md5=fa579baf45c28583aa70785da293bd1b http://eprints.utp.edu.my/28911/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|