Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes-Reference-Cited by-同舟云学术

Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes

Published:2021-05 Issue: Volume:176 Page:109198
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Ho Nang Xuan,Le Tien-Thinh

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference97 articles.

1. Neural network-based formula for the buckling load prediction of I-Section cellular steel beams;Abambres;Computers,2019

2. Assessing the accuracy of RC design code predictions through the use of artificial neural networks;Ahmad;Int. J. Adv. Struct. Eng.,2018

3. Prediction of ultimate axial capacity of square concrete-filled steel tubular short columns using a hybrid intelligent algorithm;Ren;Appl. Sci.,2019

4. Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns;Sarir;Eng. Comput.,2019

5. Ultimate capacity prediction of axially loaded CFST short columns;Güneyisi;Int. J. Steel Struct.,2016

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