Graph Hierarchical Convolutional Recurrent Neural Network (GHCRNN) for Vehicle Condition Prediction.
Mingming LuKunfang ZhangHaiying LiuNaixue XiongPublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- chaotic time series
- neural network
- complex valued
- recurrent networks
- feed forward
- prediction accuracy
- graph representation
- echo state networks
- feedforward neural networks
- reservoir computing
- structured data
- random walk
- sufficient conditions
- long short term memory
- artificial neural networks
- graph theory
- vehicle detection
- neural model
- wheel slip
- hidden layer
- hierarchical structure
- hierarchical model
- graph structure
- pedestrian detection
- prediction model
- coarse to fine
- nonlinear dynamic systems
- unsupervised learning
- weighted graph
- restricted boltzmann machine
- sparse coding
- hidden markov models
- real time