An Improved Optimization Model to Predict the MOR of Glulam Prepared by UF-Oxidized Starch Adhesive: A Hybrid Artificial Neural Network-Modified Genetic Algorithm Optimization Approach

The purpose of the present article is to study the bending strength of glulam prepared by plane tree (Platanus Orientalis-L) wood layers adhered by UF resin with different formaldehyde to urea molar ratios containing the modified starch adhesive with different NaOCl concentrations. Artificial neural...

Descripción completa

Detalles Bibliográficos
Autores principales: Nazerian, Morteza, Karimi, Jalal, Torshizi, Hossin Jalali, Papadopoulos, Antonios N., Hamedi, Sepideh, Vatankhah, Elham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785485/
https://www.ncbi.nlm.nih.gov/pubmed/36556880
http://dx.doi.org/10.3390/ma15249074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785485/
https://www.ncbi.nlm.nih.gov/pubmed/36556880
http://dx.doi.org/10.3390/ma15249074

Ejemplares similares