Mixture density conditional generative adversarial network models (MD-cGAN)
Generative Adversarial Networks (GANs) have gained significant attention in recent years, with impressive applications highlighted in computer vision, in particular. Compared to such examples, however, there have been more limited applications of GANs to time series modeling, including forecasting....
Main Authors: | , |
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Format: | Journal article |
Language: | English |
Published: |
MDPI
2021
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