[基于动态多尺度卷积和多头时间注意力的运动图像分类]
1College of Information Technology, Beijing University of Technology, Beijing 100124, P. R. China.
概括
这项研究引入了动态的多尺度CNN和多头时间注意力模型,用于运动图像 (MI) 电脑图 (EEG) 分类. 这种新方法有效地处理了个体间的变异性,提高了MI-EEG信号分类的准确性.
科学领域:
- 神经科学
- 机器学习
- 信号处理
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