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Applied Computational Intelligence and Soft Computing
Volume 2016, Article ID 1709827, 7 pages
http://dx.doi.org/10.1155/2016/1709827
Research Article

Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity

1Physics Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
2Physics and Electronics Department, Adekunle Ajasin University, Akungba Akoko, Ondo State 342111, Nigeria
3Institute for Digital Communications, School of Engineering, University of Edinburgh, UK
4Computer Information Systems Department, University of Dammam, Dammam 31451, Saudi Arabia

Received 22 November 2015; Revised 15 April 2016; Accepted 24 April 2016

Academic Editor: Sebastian Ventura

Copyright © 2016 Taoreed O. Owolabi 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

Taoreed O. Owolabi, Kabiru O. Akande, and Sunday O. Olatunji, “Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity,” Applied Computational Intelligence and Soft Computing, vol. 2016, Article ID 1709827, 7 pages, 2016. https://doi.org/10.1155/2016/1709827.