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Advances in Materials Science and Engineering
Volume 2013 (2013), Article ID 574914, 7 pages
http://dx.doi.org/10.1155/2013/574914
Research Article

Sensitivity Analysis of the Artificial Neural Network Outputs in Friction Stir Lap Joining of Aluminum to Brass

1Department of Automotive Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran
2Faculty of New Sciences and Technologies (FNST), University of Tehran, Tehran, Iran
3Department of Mechanical Engineering, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran

Received 15 December 2012; Revised 26 February 2013; Accepted 26 February 2013

Academic Editor: Rui Vilar

Copyright © 2013 Mohammad Hasan Shojaeefard 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.

Citations to this Article [8 citations]

The following is the list of published articles that have cited the current article.

  • Mohammad Hasan Shojaeefard, Abollfazl Khalkhali, Mostafa Akbari, and Mojtaba Tahani, “Application of Taguchi Optimization Technique in Determining Aluminum to Brass Friction Stir Welding Parameters,” Materials & Design, 2013. View at Publisher · View at Google Scholar
  • Samaneh Sanjari, Abbas Naderifar, and Gholamreza Pazuki, “Modeling and Optimization of β-Cyclodextrin Production by Bacillus licheniformis using Artificial Neural Network and Genetic Algorithm,” Iranian Journal of Biotechnology, vol. 11, no. 4, pp. 223–232, 2013. View at Publisher · View at Google Scholar
  • Strahinja Z. Kovačević, Sanja O. Podunavac-Kuzmanović, Lidija R. Jevrić, Evgenija A. Djurendić, and Jovana J. Ajduković, “Non-linear Assessment of Anticancer Activity of 17-Picolyl and 17-Picolinylidene Androstane Derivatives – Chemometric Guidelines for Further Syntheses,” European Journal of Pharmaceutical Sciences, 2014. View at Publisher · View at Google Scholar
  • Mohammad Hasan Shojaeefard, Mostafa Akbari, and Parviz Asadi, “Multi Objective Optimization of Friction Stir Welding Parameters Using FEM and Neural Network,” International Journal of Precision Engineering and Manufacturing, vol. 15, no. 11, pp. 2351–2356, 2014. View at Publisher · View at Google Scholar
  • Yeshona Sewsynker, Evariste Bosco Gueguim Kana, and Agbaje Lateef, “Modelling of biohydrogen generation in microbial electrolysis cells (MECs) using a committee of artificial neural networks (ANNs),” Biotechnology & Biotechnological Equipment, pp. 1–8, 2015. View at Publisher · View at Google Scholar
  • Strahinja Z. Kovačević, Sanja O. Podunavac-Kuzmanović, and Lidija R. Jevrić, “Linear and Nonlinear Structure–Retention Relationship Analysis of Different Classes of Pesticides Isolated From Groundwater,” Journal of Liquid Chromatography & Related Technologies, pp. 150610064856003, 2015. View at Publisher · View at Google Scholar
  • Farhana Tisa, Meysam Davoody, Abdul Aziz Abdul Raman, and Wan Mohd Ashri Wan Daud, “Degradation and Mineralization of Phenol Compounds with Goethite Catalyst and Mineralization Prediction Using Artificial Intelligence,” Plos One, vol. 10, no. 4, 2015. View at Publisher · View at Google Scholar
  • Halil Ibrahim Kurt, and Murat Oduncuoglu, “Effects of Temperature, Time, Magnesium, and Copper on the Wettability of Al/TiC System,” Mathematical Problems in Engineering, vol. 2015, pp. 1–6, 2015. View at Publisher · View at Google Scholar