Hybrid fuzzy deep neural network toward temporal-spatial-frequency features learning of motor imagery signals

HIGHLIGHTS

SUMMARY

CNN is classified as a kind of artificial neural_network, and it has a multilayer perceptron structure. Proposed fuzzy convolution recurrent neural_network (EEG‑CLFCNet model). To attain the study goal, series convolutional recurrent neural_network framework is compared and designed. Compact-CNN are used as the CNN module to define the series convolutional recurrent neural_network with LSTM. To rationalize the result, a hybrid neural_network with FNB including CompactCNN and LSTM blocks has been trained and designed. The presented results indicate that the channel variations of hybrid neural_networks for both approaches are not high. In contrast, a . . .

 



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