Artificial Neural Networks for Predicting the Diameter of Electrospun Nanofibers Synthesized from Solutions/Emulsions of Biopolymers and Oils

Artificial Neural Networks for Predicting the Diameter of Electrospun Nanofibers Synthesized from Solutions/Emulsions of Biopolymers and Oils

In the present work, different configurations of nt iartificial neural networks (ANNs) were analyzed in order to predict the experimental diameter of nanofibers produced by means of the electrospinning process and employing polyvinyl alcohol (PVA), PVA/chitosan (CS) and PVA/<i>aloe vera</i&...

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Bibliographic Details
Main Authors: Guadalupe Cuahuizo-Huitzil, Octavio Olivares-Xometl, María Eugenia Castro, Paulina Arellanes-Lozada, Francisco J. Meléndez-Bustamante, Ivo Humberto Pineda Torres, Claudia Santacruz-Vázquez, Verónica Santacruz-Vázquez
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Materials
Subjects:
biopolymers
essential oil
network configuration
Levenberg–Marquardt backpropagation
SEM
Online Access:https://www.mdpi.com/1996-1944/16/16/5720

Internet

https://www.mdpi.com/1996-1944/16/16/5720

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