Skip to main content
EURASIP Journal on Wireless Communications and Networking
Fig. 5 | EURASIP Journal on Wireless Communications and Networking

Fig. 5

From: A novel deep learning automatic modulation classifier with fusion of multichannel information using GRU

Fig. 5

Performance comparison of FGDNN with different neurons. This figure presents the performance comparison of GRU with different hidden neurons, m = 16, 32, 64, 128, 256. The sample length is set as 128 here. This figure shows that GRU with 128 hidden neurons outperforms the others and further increasing the number of hidden neurons cannot improve the performance of the network. When m = 16, the Classification Accuracy is the worst

Back to article page