MATEC Web Conf.
Volume 210, 201822nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018)
|Number of page(s)||10|
|Published online||05 October 2018|
Review on Artificial Intelligence Applications in Material Diagnostics and Technology
VSB-Technical university of Ostrava, Faculty of Metallurgy and Material Engineering, Czech Republic
2 Technical University of Zvolen, Faculty of Wood Sciences and Technology, Slovak Republic
* Corresponding author: email@example.com
The paper presents the review of works devoted to the material engineering – diagnostic and technological application of artificial neural networks (ANN). This review has been realized by activities created in narrow connection with the industrial sphere, mainly as a constructive step to development of Industry 4.0 philosophy. The review covers different materials measurement and evaluation. There have been investigated such materials as rubber blends, laminates, optical glasses; and also survey covers degradation processes appeared in industrial applications as well as the material defect evaluation and wearing diagnostics. The last part of the review offers output concerning infrared technique application of ANN. This review can serve as an inspiration for new challenges.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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