Comparative Analysis of ANN-MLP, ANFIS-ACO<sub>R</sub> and MLR Modeling Approaches for Estimation of Bending Strength of Glulam

Comparative Analysis of ANN-MLP, ANFIS-ACO<sub>R</sub> and MLR Modeling Approaches for Estimation of Bending Strength of Glulam

Multiple linear regression (MLR), adaptive network-based fuzzy inference system–ant colony optimization algorithm hybrid (ANFIS-ACO<sub>R</sub>) and artificial neural network–multilayer perceptron (ANN-MLP) were tested to model the bending strength of Glulam (glue-laminated timber) manuf...

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Bibliographic Details
Main Authors: Morteza Nazerian, Masood Akbarzadeh, Antonios N. Papadopoulos
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Journal of Composites Science
Subjects:
Glulam
UF-modified starch adhesive
ZnO nano particle
MLR
ANN-MLP
ANFIS-ACO<sub>R</sub>
Online Access:https://www.mdpi.com/2504-477X/7/2/57

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