Complexity / 2020 / Article / Tab 2

Research Article

Developing an Efficient Deep Learning-Based Trusted Model for Pervasive Computing Using an LSTM-Based Classification Model

Table 2

Training parameters of the backward propagation deep neural network.

NetworkBPNN1BPNN2BPNN3BPNN4BPNN5BPNN6

Training instances220220220220220220
Validating instances100100100100100100
Learning rate0.0010.00010.00010.010.00010.001
Activation functionrelurelurelurelurelurelu
Epochs20060080090010001200
Training time (s)130150160165200250
Accuracy (%)78.0081.0288.8885.8887.3088.76
AUC (%)78.2381.4588.7885.7886.2288.76

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