Efficiency of three advanced data-driven models for predicting axial compression capacity of CFDST columns

Title
Efficiency of three advanced data-driven models for predicting axial compression capacity of CFDST columns
Authors
Keywords
Adaptive neural-fuzzy inference system, Artificial neural network, Axial compression capacity, Circular concrete-filled double-skin steel tube column, Data-driven model, Graphical user-friendly interface, Multivariate adaptive regression spline
Journal
THIN-WALLED STRUCTURES
Volume 152, Issue -, Pages 106744
Publisher
Elsevier BV
Online
2020-04-30
DOI
10.1016/j.tws.2020.106744

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started