A Multi-Index Generative Adversarial Network for Tool Wear Detection with Imbalanced Data

Table 1

Specific noise-searching algorithm.

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Algorithm 1

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Require: batch size , input signals , pretrained generator , training iterations , and learning rate .

(1) Sample noises from standard normal distribution.

(2) for to do:

(3) Generate a batch of fake normal signals: .

(4) Calculate the mean square error between and as , where is the th element in .

(5) .

(6) end for

(7) return the specific noises .

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