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An Evolutionary Artificial Immune System for feature selection and parameters optimization of support vector machines for ERP assessment in a P300-based GKT

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2 Author(s)
Shojaie, S. ; Biomed. Eng. Fac., Amirkabir Univ. of Technol., Tehran ; Moradi, M.H.

Optimizing a classifier is a subject of great interest in the research area. A lot of methods inspired of biological metaphors are proposed for this task. This paper present a new algorithm based on the natural immune metaphors which select a proper subset of features and optimal parameters of a support vector machines (SVM) classifier. The designed optimization method is validated for ERP assessment in a P300-based GKT (guilty knowledge test). The result experiment shows the effectiveness of the method.

Published in:

Biomedical Engineering Conference, 2008. CIBEC 2008. Cairo International

Date of Conference:

18-20 Dec. 2008

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