Vibration analysis of embedded porous nanobeams under thermal effects using boosting machine learning algorithms and semi-analytical approach

Tariq, Aiman; Uzun, Büşra; Deliktaş, Babür; Yaylı, Mustafa Özgür

doi:10.1080/15376494.2024.2320809

Mechanics of Advanced Materials and Structures

2024

DOI: 10.1080/15376494.2024.2320809

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Vibration analysis of embedded porous nanobeams under thermal effects using boosting machine learning algorithms and semi-analytical approach

Aiman Tariq,

Büşra Uzun,

Babür Deliktaş

et al.

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Cited by 5 publications

References 66 publications

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Vibration analysis of embedded porous nanobeams under thermal effects using boosting machine learning algorithms and semi-analytical approach

Cited by 5 publications

References 66 publications

A machine learning approach for buckling analysis of a bi-directional FG microbeam

A machine learning approach for buckling analysis of a bi-directional FG microbeam

An investigation on ensemble machine learning algorithms for nonlinear stability response of a two-dimensional FG nanobeam

Predicting the compressive strength of advanced concrete structures by developed African vulture optimization algorithm-Elman neural networks

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