Probabilistic Forecasting of Sensory Data With Generative Adversarial Networks – ForGAN
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DOI: 10.1109/access.2019.2915544
Abstract: Time series forecasting is one of the challenging problems for humankind. The traditional forecasting methods using mean regression models have severe shortcomings in reflecting real-world fluctuations. While new probabilistic methods rush to rescue, they fight… read more here.
Keywords: forecasting sensory; probabilistic forecasting; generative adversarial; adversarial networks ... See more keywords