Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction.
Kan GuoYongli HuSean QianHao LiuKe ZhangYanfeng SunJunbin GaoBaocai YinPublished in: IEEE Trans. Intell. Transp. Syst. (2021)
Keyphrases
- recurrent neural networks
- chaotic time series
- neural network
- feed forward
- reservoir computing
- prediction accuracy
- recurrent networks
- hidden layer
- complex valued
- graph representation
- graph theory
- long short term memory
- artificial neural networks
- network traffic
- prediction model
- echo state networks
- traffic flow
- graph model
- feedforward neural networks
- nonlinear dynamic systems
- real time
- image processing
- weighted graph
- random walk
- directed graph
- graph structure
- bipartite graph
- undirected graph
- spanning tree
- training data
- structured data
- decision making
- road network