Data fusion for fault diagnosis using multi-class Support Vector Machines-Reference-Cited by-同舟云学术

Data fusion for fault diagnosis using multi-class Support Vector Machines

Published:2005-10 Issue:10 Volume:6 Page:1030-1039
ISSN:1673-565X
Container-title:Journal of Zhejiang University-SCIENCE A
language:en
Short-container-title:J. Zheijang Univ.-Sci. A

Author:

Zhong-hui Hu,Yun-zu Cai,Yuan-gui Li,Xiao-ming Xu

Publisher

Zhejiang University Press

Subject

General Engineering

Link

http://link.springer.com/content/pdf/10.1631/jzus.2005.A1030.pdf

Reference19 articles.

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2. Burges, C.J.C., 1998. A tutorial on support vector machines for pattern recognition.Data Mining and Knowledge Discovery,2(2):121–167.

3. Byington, C.S., Garga, A.K., 2001. Data Fusion for Developing Predictive Diagnostics for Electromechanical Systems.In: Hall, D.L., Llinas, J. (Eds.), Handbook of Multisensor Data Fusion. CRC Press, Boca Raton, FL, p. 1–32.

4. Cristianini, N., Shawe-Taylor, J., 2000. An Introduction to Support Vector Machines and other Kernel-based Learning Methods. Cambridge University Press, Cambridge.

5. Duda, R.O., Hart, P.E., Stork, D.G., 2001. Pattern Classification (2nd Edition). John Wiley & Sons, Inc., New York, p. 483.

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