Cargando…
Comfort evaluation of ZnO coated fabrics by artificial neural network assisted with golden eagle optimizer model
This paper introduces a novel technique to evaluate comfort properties of zinc oxide nanoparticles (ZnO NPs) coated woven fabrics. The proposed technique combines artificial neural network (ANN) and golden eagle optimizer (GEO) to ameliorate the training process of ANN. Neural networks are state-of-...
Autores principales: | Amor, Nesrine, Noman, Muhammad Tayyab, Petru, Michal, Sebastian, Neethu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012820/ https://www.ncbi.nlm.nih.gov/pubmed/35428810 http://dx.doi.org/10.1038/s41598-022-10406-6 |
Ejemplares similares
-
Thermophysiological comfort of zinc oxide nanoparticles coated woven fabrics
por: Noman, Muhammad Tayyab, et al.
Publicado: (2020) -
Thermophysiological comfort of sonochemically synthesized nano TiO(2) coated woven fabrics
por: Noman, Muhammad Tayyab, et al.
Publicado: (2020) -
Use of an Artificial Neural Network for Tensile Strength Prediction of Nano Titanium Dioxide Coated Cotton
por: Amor, Nesrine, et al.
Publicado: (2022) -
Prediction of functional properties of nano [Formula: see text] coated cotton composites by artificial neural network
por: Amor, Nesrine, et al.
Publicado: (2021) -
Effect of Sonication and Nano TiO(2) on Thermophysiological
Comfort Properties of Woven Fabrics
por: Noman, Muhammad Tayyab, et al.
Publicado: (2020)