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使用BP神经网络算法对脑电信号进行分类识别。-BP neural network algorithm using EEG classification.
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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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EEg signal classification coding
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this file contain code of EEG signal processing denoising and classification
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EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
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SVM classifier for EEG signal classification
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基于机器学习方法的脑电信号自动分类研究
基于机器学习方法的脑电信号自动分类研究-Automatic classification based on machine learning method of eeg signals
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关于脑电信号特征函数的计算
关于脑电信号特征函数的计算-Automatic classification based on machine learning method of eeg signals esn
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eeg classification (a simple gui to add eeg signal, create , learn the system and test it)
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实现基于NeuroScan平台采集的脑电信号的数据分类、打标等功能-Realize the functions of data classification and marking, etc.of EEG collected by NeuroScan platform
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Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients
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BioSig is an open source software library for biomedical signal processing, featuring for example the analysis of biosignals such as the electroencephalogram (EEG), electrocorticogram (ECoG), electrocardiogram (ECG), electrooculogram (EOG), electromy
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Fuzzy support vector machine for classification of EEG signals using wavelet-based features
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toolbox code to classify alzahimer dieses.
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csp特征提取,lda进行分类,四分类脑电信号处理,亲测可用(CSP feature extraction, LDA classification, four classification of EEG signal processing, pro test available)
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用于脑电信号分析的matlab算法,对数据进行PCA处理及SVM分类。(The matlab algorithm for EEG signal analysis performs PCA processing and SVM classification on data.)
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BCI_MI_CSP_DNN是一种基于matlab的运动图像脑电信号分类程序。
基于matlab深度学习工具箱编写了BCI_MI_CSP_DNN程序
本程序的原理基于CSP和DNN算法
这个程序的性能是基于BCI竞赛II数据集II
提出了一种基于深度学习的运动图像脑电信号分类方法。在预处理原始脑电图信号的基础上,采用共空间模型(CSP)方法提取脑电图特征矩阵,并将其输入深度神经网络(DNN)进行训练和分类。我们的工作在BCI Competition II Dataset III上进行了实
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