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

Table 2

Generator network algorithm.

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Generating network algorithm

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Input: Gaussian noise N

Output: Composite data G(Z)

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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