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生物通
24 天
基于时间卷积网络(TCNN)、双向长短期记忆(Bi-LSTM)以及雀鸟搜索 ...
提出TCN-BiLSTM融合模型预测质子交换膜燃料电池性能退化,采用MI和SG滤波器预处理3000小时动态数据,通过SSA优化超参数,动态 ...
生物通
7 个月
基于选择性通道的穿戴式脑电信号多类情绪分类:1DCNN-Bi-LSTM混合模型 ...
针对多通道脑电(EEG)信号冗余信息导致的情绪分类难题,研究人员提出融合1DCNN空间特征提取与Bi-LSTM时序建模的混合模型 ...
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