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Discrete Dynamics in Nature and Society
Volume 2015, Article ID 294930, 7 pages
http://dx.doi.org/10.1155/2015/294930
Research Article

A New Hybrid Algorithm for Bankruptcy Prediction Using Switching Particle Swarm Optimization and Support Vector Machines

1College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China
2Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China
3Department of Computer Science, Brunel University, Uxbridge, Middlesex UB8 3PH, UK
4Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia

Received 27 November 2014; Accepted 19 December 2014

Academic Editor: Zidong Wang

Copyright © 2015 Yang Lu 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

Yang Lu, Nianyin Zeng, Xiaohui Liu, and Shujuan Yi, “A New Hybrid Algorithm for Bankruptcy Prediction Using Switching Particle Swarm Optimization and Support Vector Machines,” Discrete Dynamics in Nature and Society, vol. 2015, Article ID 294930, 7 pages, 2015. https://doi.org/10.1155/2015/294930.