Author(s)

Jing Chen, Hongmei Huang, Xiaoxuan Wang, And Yujing Wu

Corresponding Author

Jing Chen

Abstract

This paper proposed the feature selection and optimization of support vector machine parameters based on artificial bee colony algorithm. The goal of algorithm is to improve the classification rate and reduce the number of features. The proposed algorithm is validated on the UCI database. The result show that the proposed algorithm has the ability of feature selection and it can improve the classification rate obviously. Compared with other algorithms, the proposed algorithm is more efficient in feature selection and classification.

Keywords

Artificial Bee Colony, Bio-Inspired Computing, Remote Sensing, Classification, Feature Selection, Multiple Classifier System.