Phân tích tư tưởng của nhân dân qua đoạn thơ: Những người vợ nhớ chồng… Những cuộc đời đã hóa sông núi ta trong Đất nước của Nguyễn Khoa Điềm
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In this paper, motivated by significant advantages and lots of achieved successes of deep learning in data mining, we apply Deep Belief Network (DBN), which is one of the breakthrough models laid the foundation for deep learning, to detect epileptic spikes in EEG data. It is really useful in practice because the promising quality evaluation of the spike detection system is higher than 90%. In particular, to construct the accurate detection model for non-spikes and spikes, a new set of detailed features of epileptic spikes is proposed that gives a good description of spikes.
Nội dung trích xuất từ tài liệu:
Deep Learning for Epileptic Spike Detection
