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Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.

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1.About the file: samples\ wgan-gp \ORDER\ race-50 \ orderir021-05-17-20_23 \ w-ratio50-order-minmax-or021_98331. out, How is it generated?My run results did not. 2.According to the instructions of "README.md" $ python train_gan.py --phase='generate'...

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verified publisher icon he-zh

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Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.

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