Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

Shariati, Mahdi; Saeed Mafipour, Mohammad; Mehrabi, Peyman; Bahadori, Alireza; Zandi, Yousef; Nimir Ali Salih, Musab; Nguyen, Hoang; Dou, Jie; Song, Xuan; Poi-Ngian, Shek

doi:10.3390/app9245534

Public

Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

Published in Applied Sciences • Dec 16, 2019

Authors:

Mahdi Shariati

Mohammad Saeed Mafipour

Peyman Mehrabi

Abstract

Channel shear connectors are known as an appropriate alternative for common shear connectors due to having a lower manufacturing cost and an easier installation process. The behavior of channel connectors is generally determined through conducting experiments. However, these experiments are not only...

Subject

Particle swarm optimization

Artificial neural network

Backpropagation

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