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A new method of multi-sensor information fusion based on SVM

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2 Author(s)
Zhi-Xin Li ; Dept. of Control Sci. & Eng., North China Electr. Power Univ., Baoding, China ; Yong-guang Ma

The support vector machine (SVM) is an algorithm based on structure risk minimizing principle, having high generalization ability. In the course of multi-sensor information fusion of industrial control, sensor has bigger nonlinearity and fuzzy relation between coefficient and relevant parameter. A kind of model and algorithm of multiple sensor information fusion based on the support vector machine are proposed. The model offered a kind of effective way for little sample, non-linear, high dimension.

Published in:

Machine Learning and Cybernetics, 2009 International Conference on  (Volume:2 )

Date of Conference:

12-15 July 2009