Improved Levenberg–Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams

The aim of this study is to develop a novel computer-aided method for the prediction of the deflection of reinforced concrete beams (DRCB) under concentrated loads. To this end, in the present work, a Levenberg–Marquardt-based backpropagation novel neural network model, optimized by the whale optimi...

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Bibliographic Details
Published in:	Engineering with computers Vol. 38; no. Suppl 5; pp. 3847 - 3869
Main Authors:	Zhao, Jue, Nguyen, Hoang, Nguyen-Thoi, Trung, Asteris, Panagiotis G., Zhou, Jian
Format:	Journal Article
Language:	English
Published:	London Springer London 01.12.2022 Springer Nature B.V
Subjects:	Algorithms Back propagation Back propagation networks CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Concentrated loads Concrete properties Control Datasets Deflection Math. Applications in Chemistry Mathematical and Computational Engineering Mechanical properties Neural networks Optimization algorithms Original Article Particle swarm optimization Reinforced concrete Systems Theory Smart structures Evolutionary computing Computer-aided method Neural network computing Reinforced concrete beam Artificial intelligence
ISSN:	0177-0667, 1435-5663
Online Access:	Get full text
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