Modeling of Mechanical Properties of Clay-Reinforced Polymer Nanocomposites Using Deep Neural Network

Modeling of Mechanical Properties of Clay-Reinforced Polymer Nanocomposites Using Deep Neural Network

Due to the non-linear characteristics of the processing parameters, predicting the desired properties of nanocomposites using the conventional regression approach is often unsatisfactory. Thus, it is essential to use a machine learning approach to determine the optimum processing parameters. In this...

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Bibliographic Details
Main Authors: Bouchaib Zazoum, Ennouri Triki, Abdel Bachri
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Materials
Subjects:
polymer
clay
nanocomposites
mechanical properties
deep neural network
back-propagation algorithm
Online Access:https://www.mdpi.com/1996-1944/13/19/4266

Internet

https://www.mdpi.com/1996-1944/13/19/4266

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