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Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 89812-89821
Authors:  Wang, Wei;  Wang, Chuang;  Cui, Tao;  Li, Yue
Favorite  |  View/Download:20/0  |  Submit date:2020/09/23
Gallium nitride  Generative adversarial networks  Tensile stress  Generators  Indexes  Training  Numerical models  Restrained network structures  generative adversarial network  numeric data augmentation