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

Ming Ying Luo

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270The Research on Support Vector Machine Ensemble...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 268-270)

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1096-1102

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.1096

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Online since:

July 2011

Authors:

Ming Ying Luo

Keywords:

Adaptive, Fuzzy Integral Method, Support Vector Machine (SVM)

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