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里面有了巧妙的方法提高了脑电信号分类准确性，有做EEG分类的可以看看。-There has been a clever way to improve the classification accuracy of EEG, and EEG classification can be done to see.
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this file about CLASSIFICATION OF CHAOTIC SIGNALS USING HMM CLASSIFIERS: EEG-BASED MENTAL TASK CLASSIFICATION
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模糊C均值脑电分类并使用了支持向量机对比，其中支持向量机使用了三种方法参数寻优。-fuzzy C means clustering for EEG classification，and use the SVM for campare. The SVM applied three methods to find the optimal apartments.
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SVM EEG signal classification
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利用遗传算法对SVMk进行优化,并将其用于脑电信号的分类中-By using the genetic algorithm to optimize SVMk, and use it to the classification of the eeg signals
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脑电信号的特征提取与分类，大家可以查阅，很有帮助的-EEG feature extraction and classification, we can access helpful
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关于脑机接口的文献，基于SVM和小波分析的脑电信号分类方法-Literature on brain-computer interface the EEG classification method based on SVM and Wavelet Analysis
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脑电信号的提取和特征分类还有滤波处理，适用于脑机接口技术中-EEG extraction and feature classification filtering process, applied to brain-computer interface technology
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基于聚类分析的脑电信号数据处理，详细讲了脑电的基础知识然后讲了具体的脑电采集，然后是分类-EEG data processing based on cluster analysis, saying more about the basics of the EEG and then talk about specific EEG acquisition and classification
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The included are some recent research papers for the brain activity studies.
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EEG DATA CLASSIFICATION SURVEY AND ITS DETAILS ARE EXPAINED IN RESEARCH PAPER
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CLASSIFICATION OF DATA RELATED EEG BASED SIGNAL ANALYSIS AND FEATURE EXTRACTION TECCHNIQUE
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CLASSIFICATION OF DATA RELATED EEG BASED SIGNAL ANALYSIS AND FEATURE EXTRACTION TECCHNIQUE
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随机森林基于随机森林方法的异常样本检测方法方法根据相关文献提供的实验结果,将54株H5N1病毒株按其对哺乳动物的毒力强弱分为高毒力组和低毒力组,在NCBI Genbank数据库中下载HA基因序列,用随机森林模型完成主要变异氨基酸位点的筛选。-Random forestHigh-dimensional EEG features selection based on random forests algorithm
Application of Random Forest on Selecti
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Active Segment Selection Method in EEG Classification Using Fractal Features
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Classification of ictal and seizure-free EEG signals using fractionallinear prediction
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