A Multi-Sensor Information Fusion Algorithm based on SVM

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.