中文说明：基于粒子群优化和离散余弦变换的人脸识别
English Description：
FACE RECOGNITION USING PARTICLE SWARM OPTIMIZATION AND DCT Feature selection (FS) is a global optimization problem in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable recognition accuracy. It is the most important step that a ects the performance of a pattern recognition system. This pdf presents a fea- ture selection algorithm based on particle swarm optimization (PSO). PSO is a computational paradigm based on the idea of collaborative behavior inspired by the social behavior of bird Click the file on the left to start the preview,please ！The preview only provides 20% of the code snippets, the complete code needs to be downloaded Loading Report