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Computational Intelligence and Neuroscience
Volume 2017, Article ID 3405463, 11 pages
https://doi.org/10.1155/2017/3405463
Research Article

Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines

1School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, China
2Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China
3Department of Electrical Engineering, COMSATS Institute of Information Technology Abbottabad, Abbottabad, Pakistan

Correspondence should be addressed to Dezheng Zhang; moc.621@anihczdz and Xiong Luo; nc.ude.btsu@oulx

Received 26 December 2016; Revised 25 March 2017; Accepted 9 April 2017; Published 4 May 2017

Academic Editor: Pietro Aricò

Copyright © 2017 Adnan O. M. Abuassba 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

Adnan O. M. Abuassba, Dezheng Zhang, Xiong Luo, Ahmad Shaheryar, and Hazrat Ali, “Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 3405463, 11 pages, 2017. https://doi.org/10.1155/2017/3405463.