Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems.
Haitao LiuChangjun LiuXiaomo JiangXudong ChenShuhua YangXiaofang WangPublished in: CoRR (2021)
Keyphrases
- dynamic systems
- complex systems
- discrete event
- qualitative reasoning
- state variables
- dynamical systems
- consistency based diagnosis
- probabilistic model
- state estimation
- bayesian networks
- model based diagnosis
- belief networks
- recurrent neural networks
- feed forward
- artificial neural networks
- neuro fuzzy
- generative model
- particle filter
- continuous variables
- input data
- qualitative models
- linear time invariant
- random variables
- multi agent systems
- machine learning