Hybrid particle swarm optimization and group method of data handling for the prediction of ultimate strength of concrete-filled steel tube columns-Reference-Cited by-同舟云学术

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Hybrid particle swarm optimization and group method of data handling for the prediction of ultimate strength of concrete-filled steel tube columns

Published:2024-09 Issue: Volume:195 Page:103708
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Deng Chubing,Xue Xinhua

Publisher

Elsevier BV

Reference83 articles.

1. Empirical approach for determining axial strength of circular concrete filled steel tubular columns;Jayalekshmi;J Inst Eng Ser A,2018

2. Experimental and numerical studies of failure modes and load-carrying capacity of through-diaphragm connections;Rong;Trans Tianjin Univ,2018

3. Sugarcane bagasse ash-based engineered geopolymer mortar incorporating propylene fibers;Akbar;J Build Eng,2020

4. Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling;Chen;Eng Comput,2020

5. Development of hybrid machine learning models for predicting the critical buckling load of I-shaped cellular beams;Ly;Appl Sci,2019

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