关键词: 支持向量机, 分类器, 参数优化, 粒子群算法

Abstract: Particle swarm optimization used for optimization selection for hyper-parameter of support vector machine classifier was designed and implemented utilizing global searching property of particle swarm optimization algorithm while the algorithm was used to solve combinatorial optimization problems. The method of individuals coding and evaluating was described in brief. The experimental statistic results demonstrate that the algorithm is effective and efficacious. In the end, some in-depth works are listed on the base of above-mentioned study.

Key words: Support vector machine, Classifier, Parameter optimization, Particle swarm optimization