关键词: 近邻支持向量机, 脑功能, 训练时间, 正识率

Abstract: This paper discusses the validity and advantage of using PSVM classifier in brain function recognition，and provides a thorough study and analysis on it.To adopt raw EEG data from three volunteers in eyes open and close states，analyzes and compares the performance of PSVM classifier and standard SVM classifier in different points of view，the criterion are training time and correct recognition ratio.PSVM is more efficient than SVM in the computing speed without reducing the correct recognition ratio.Even more，along with the increasing of the sample dimension，the training time is not on the rise.PSVM is efficient and with predominant performance in EEG signals processing，which is of significance in real-time brain function pattern recognition.

Key words: proximal support vector machine, brain function, training time, correct recognition ratio