Prediction of polymer composite material products using neural networks

DOI

10.2991/imst-16.2016.59How to use a DOI?

Keywords

binder; analysis; modeling; control.

Abstract

This article contains results of mathematical modeling of technological processes for manufacture of pre-production polymer composite prototypes having certain performance characteristics conducted with application of engineering analysis software using artificial neural networks. The first step was to evaluate the statistic importance of outside parameters which influence on materials' properties. The main task was to acquire the function of dependence of the mechanical properties from the outside factors.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - A.V. Gaganov
AU  - O.A. Karaeva
AU  - A.M. Kudrin
AU  - A.V. Kretinin
AU  - A.A. Gurtovoy
PY  - 2016/11
DA  - 2016/11
TI  - Prediction of polymer composite material products using neural networks
BT  - Proceedings of the 2016 International Conference on Innovative Material Science and Technology (IMST 2016)
PB  - Atlantis Press
SP  - 398
EP  - 405
SN  - 1951-6851
UR  - https://doi.org/10.2991/imst-16.2016.59
DO  - 10.2991/imst-16.2016.59
ID  - Gaganov2016/11
ER  -