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Attribute Selection for EEG Signal Classification Using Rough Sets and Neural Networks

机译：基于粗糙集和神经网络的脑电信号分类属性选择

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Kenneth Revett; Marcin Szczuka; Pari Jahankhani; Vassilis Kodogiannis;
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年度 2014
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2. Automatic Classification of Motor Impairment Neural Disorders from EEG Signals Using Deep Convolutional Neural Networks [J] . Vrbancic Grega, Podgorelec Vili Elektronika ir Elektrotechnika . 2018,第4期

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3. Real and imaginary motion classification based on rough set analysis of EEG signals for multimedia applications [J] . Szczuko Piotr Multimedia Tools and Applications . 2017,第24期

机译：基于脑电信号粗集分析的真实和虚构运动分类，用于多媒体应用
4. Attribute Selection for EEG Signal Classification Using Rough Sets and Neural Networks [C] . Kenneth Revett, Marcin Szczuka, Pari Jahankhani, International Conference on Rough Sets and Current Trends in Computing(RSCTC 2006); 20061106-08; Kobe(JP) . 2006

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5. Detection and Classification of Epileptiform Transients in EEG signals using Convolution Neural Networks [D] . Ganta, Ashish. 2017

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Attribute Selection for EEG Signal Classification Using Rough Sets and Neural Networks

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