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Applied Computational Intelligence and Soft Computing
Volume 2016, Article ID 5241279, 12 pages
http://dx.doi.org/10.1155/2016/5241279
Research Article

A SVR Learning Based Sensor Placement Approach for Nonlinear Spatially Distributed Systems

1Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronics and Automation, Shanghai University, Shanghai 200072, China
2Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

Received 29 August 2016; Accepted 27 September 2016

Academic Editor: Wu Deng

Copyright © 2016 Xian-xia Zhang 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

Xian-xia Zhang, Zhi-qiang Fu, Wei-lu Shan, Bing Wang, and Tao Zou, “A SVR Learning Based Sensor Placement Approach for Nonlinear Spatially Distributed Systems,” Applied Computational Intelligence and Soft Computing, vol. 2016, Article ID 5241279, 12 pages, 2016. https://doi.org/10.1155/2016/5241279.