基于PSO训练SVM的人脸识别利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径 已通过测试。 -Good performance, performance in the ability to learn the use of support vector machines based on PSO training SVM face recognition combined

基于K均值的PSO聚类算法,包含优化类的几个简单示例程序，Gabor小波变换与PCA的人脸识别代码。- K-means clustering algorithm based on the PSO, Optimization class contains several simple sample programs, Gabor wavelet transform and PCA face recognition code.

Gabor小波变换与PCA的人脸识别代码，基于K均值的PSO聚类算法,使用大量的有限元法求解偏微分方程。- Gabor wavelet transform and PCA face recognition code, K-means clustering algorithm based on the PSO, Using a large number of finite element method to solve partial differential equations.