By Topic

A Multi-Sensor Information Fusion Algorithm based on SVM

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jian-Hua Adu ; Software Dept., Chengdu Univ. of Inf. Technol., Chengdu ; 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