Modeling the Temperature Dependence of Dynamic Mechanical Properties and Visco-Elastic Behavior of Thermoplastic Polyurethane Using Artificial Neural Network

This paper presents one of the soft computing methods, specifically the artificial neural network technique, that has been used to model the temperature dependence of dynamic mechanical properties and visco-elastic behavior of widely exploited thermoplastic polyurethane over the wide range of temper...

Descripción completa

Detalles Bibliográficos
Autores principales: Kopal, Ivan, Harničárová, Marta, Valíček, Jan, Kušnerová, Milena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418911/
https://www.ncbi.nlm.nih.gov/pubmed/30965826
http://dx.doi.org/10.3390/polym9100519

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418911/
https://www.ncbi.nlm.nih.gov/pubmed/30965826
http://dx.doi.org/10.3390/polym9100519

Ejemplares similares