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The Scientific World Journal
Volume 2014, Article ID 485205, 7 pages
http://dx.doi.org/10.1155/2014/485205
Research Article

Surface Roughness Optimization of Polyamide-6/Nanoclay Nanocomposites Using Artificial Neural Network: Genetic Algorithm Approach

1Islamic Azad University of Kashan, Ghotbe Ravandi Boulevard, Kashan 87159 98151, Iran
2Faculty of Mechanical Engineering, University of Niš, Niš, Serbia
3Islamic Azad University, Badroud Branch, Badroud, Iran
4Islamic Azad University, Najafabad Branch, Najafabad, Iran

Received 8 August 2013; Accepted 4 December 2013; Published 21 January 2014

Academic Editors: H. E. Unalan and C. Ye

Copyright © 2014 Mehdi Moghri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Mehdi Moghri, Milos Madic, Mostafa Omidi, and Masoud Farahnakian, “Surface Roughness Optimization of Polyamide-6/Nanoclay Nanocomposites Using Artificial Neural Network: Genetic Algorithm Approach,” The Scientific World Journal, vol. 2014, Article ID 485205, 7 pages, 2014. https://doi.org/10.1155/2014/485205.