Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.
Yaguang LiRose YuCyrus ShahabiYan LiuPublished in: ICLR (Poster) (2018)
Keyphrases
- recurrent neural networks
- data driven
- chaotic time series
- feed forward
- neural network
- traffic volume
- artificial neural networks
- short term
- reservoir computing
- complex valued
- long short term memory
- recurrent networks
- anisotropic diffusion
- traffic flow
- feedforward neural networks
- network traffic
- echo state networks
- deep learning
- real time
- hidden layer
- traffic congestion
- nonlinear dynamic systems
- neural model
- exchange rate
- diffusion process
- forecasting model
- neuro fuzzy
- long term
- knowledge base
- artificial intelligence
- semi supervised
- restricted boltzmann machine
- support vector