RFID Scheme for IoT Devices Based on LSTM-CNN

Table 2

Comparison of different network models.

Model	Architecture	Learning rate	Accuracy
CNN	Conv1 (, )	0.001	85.41%
	Maxpooling (2, 2)
	Conv2 (, )
	Maxpooling (2, 2)
	Conv3 (, )
	Maxpooling (2, 2)
	FC1 (256, 128)
	FC2 (128, 16)
LSTM	LSTM(128)	0.0001	64.89%
	FC(128, 16)
CNN-LSTM	Conv1 (, )	0.001	93.36%
	Maxpooling (2, 2)
	Conv2 (, )
	Maxpooling (2, 2)
	Conv3 (, )
	Maxpooling (2, 2)
	LSTM(256)
	FC1 (256, 128)
	FC2 (128, 16)
LSTM-CNN	LSTM(128)	0.001	99.68%
	Conv1 (, )
	Maxpooling (2, 2)
	Conv2 (, )
	Maxpooling (2, 2)
	Conv3 (, )
	Maxpooling (2, 2)
	FC1 (256, 128)
	FC2 (128, 16)