The Research on Support Vector Machine Ensemble Based on Adaptive Fuzzy Integral Method

Abstract:

Article Preview

The existed fuzzy integral fusion methods used the prior information of training samples to determine the value of fuzzy density, which is the same to any samples and can not reflect the different importance of support vector machine to different samples. A support vector machine ensemble based on adaptive fuzzy integral is presented, the classification confidence of individual support vector machine to test sample is determined according to the measurement level information and the adaptive fuzzy density is determined according to classification confidence.

Info:

Periodical:

Advanced Materials Research (Volumes 268-270)

Edited by:

Feng Xiong

Pages:

1096-1102

DOI:

10.4028/www.scientific.net/AMR.268-270.1096

Citation:

M. Y. Luo "The Research on Support Vector Machine Ensemble Based on Adaptive Fuzzy Integral Method", Advanced Materials Research, Vols. 268-270, pp. 1096-1102, 2011

Online since:

July 2011

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.