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ISRN Artificial Intelligence
Volume 2014 (2014), Article ID 864020, 13 pages
http://dx.doi.org/10.1155/2014/864020
Research Article

Weighed Nonlinear Hybrid Neural Networks in Underground Rescue Mission

1Institute of System Engineering, Faculty of Science, Jiangsu University, 301 Xuefu, Zhenjiang 212013, China
2College of Finance and Economics, Jiangsu University, 301 Xuefu, Zhenjiang 212013, China
3Department of Computer Science, School of Applied Science, Kumasi Polytechnic, P.O. Box 854, Kumasi, Ghana
4Computer Science and Technology, School of Computer Science & Telecommunication, Jiangsu University, 301 Xuefu, Zhenjiang 212013, China

Received 25 September 2013; Accepted 11 November 2013; Published 22 January 2014

Academic Editors: O. Castillo, K. W. Chau, D. Chen, and P. Kokol

Copyright © 2014 Hongxing Yao 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

Hongxing Yao, Mary Opokua Ansong, and Jun Steed Huang, “Weighed Nonlinear Hybrid Neural Networks in Underground Rescue Mission,” ISRN Artificial Intelligence, vol. 2014, Article ID 864020, 13 pages, 2014. doi:10.1155/2014/864020