Railway Fastener Fault Diagnosis Based on Generative Adversarial Network and Residual Network Model

Table 3

Discriminator network algorithm.

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Discriminator network algorithm

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Input: Fractured track fastener picture

Output: Probability that the output data is true or false

1 Initialization of relevant parameters

 Set up the training cycle (e): epoch

 Set up the batch sample size (m): batch_size

2 Begin

3 For i = 1 in e do

4  For batch = 1 in m do

5   

6   Optimize loss functions

7   Update weight and bias

8  End

9 End

10 End

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