Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network.
M. ChengFangxin FangChristopher C. PainI. M. NavonPublished in: CoRR (2020)
Keyphrases
- data driven
- spatio temporal
- network architecture
- deep learning
- network structure
- nonlinear dynamical
- origin destination
- spatial and temporal
- space time
- complex networks
- spatial temporal
- generative model
- traffic patterns
- wireless sensor networks
- network traffic
- human motion
- unsupervised learning
- traffic engineering
- multi agent