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A Multi-Sensor Information Fusion Algorithm based on SVM

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4 Author(s)
Jian-Hua Adu ; Software Department, Chengdu University of Information Technology, Chengdu 610225, China. E-MAIL: ; De-Kun Hu ; Hui Peng ; Ju-Hong Tie

Support vector machine is an algorithm based on structural risk minimization, which has good generalization performance. In the course of multi-sensor information fusion of industrial control, sensor has bigger nonlinearity and fuzzy relation between coefficient and relevant parameter. This paper proposed an algorithm of multi-sensor information fusion based on support vector machine, which offered a kind of effective way for modeling process of these little samples, non-linear, high dimension problems.

Published in:

Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on

Date of Conference:

13-15 Dec. 2008