Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration

Author:

Zotov EvgenyORCID,Tiwari Ashutosh,Kadirkamanathan VisakanORCID

Publisher

Springer International Publishing

Reference19 articles.

1. Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein GAN (2017). http://arxiv.org/abs/1701.07875

2. Brock, A., Donahue, J., Simonyan, K.: Large scale GAN training for high fidelity natural image synthesis (2018). http://arxiv.org/abs/1809.11096

3. Chen, X., Duan, Y., Houthooft, R., Schulman, J., Sutskever, I., Abbeel, P.: InfoGAN: interpretable representation learning by information maximizing generative adversarial nets (2016). http://arxiv.org/abs/1606.03657

4. Donahue, C., McAuley, J., Puckette, M.: Adversarial audio synthesis (2018). http://arxiv.org/abs/1802.04208

5. Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial networks (2014). http://arxiv.org/abs/1406.2661

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