关键词: 人脸识别, 机器学习, 反向传播神经网络, 径向基函数神经网络, 支持向量化, 集成学习, 比较, ,

Abstract: BP neural network，RBF neural network，Support Vector Machines（SVM），and ensemble learning are four widely-used machine learning methods at present.In this paper，these four widely-used machine learning methods are applied to face recognition，and then the ORL database is selected to test and evaluate each learning method.Experimental results demonstrate that SVM and ensemble learning methods have achieved good performance in the experiment and are most suitable for feature classifier in face recognition.

Key words: face recognition, machine learning, Back Propagation（BP） neural network, Radial Basis Function（RBF） neural network, Support Vector Machines（SVM）, ensemble learning, comparison