LSTM variants meet graph neural networks for road speed prediction.
Zhilong LuWeifeng LvYabin CaoZhipu XieHao PengBowen DuPublished in: Neurocomputing (2020)
Keyphrases
- neural network
- recurrent neural networks
- artificial neural networks to predict
- prediction accuracy
- pattern recognition
- neural network ensemble
- prediction model
- random walk
- fuzzy logic
- high speed
- directed graph
- vehicle speed
- graph theory
- prediction algorithm
- prediction error
- neural nets
- road network
- neural networks and support vector machines
- back propagation
- multilayer perceptron
- bipartite graph
- chaotic time series
- graph structure
- structured data
- aerial images
- multi layer perceptron
- road traffic
- weighted graph
- graph representation
- graph model
- directed acyclic graph
- graph matching
- feed forward
- neural network model
- self organizing maps