Steering Traffic via Recurrent Neural Networks in Challenged Edge Scenarios.
Alessandro GaballoMatteo FloccoFlavio EspositoGuido MarchettoPublished in: CNSM (2019)
Keyphrases
- recurrent neural networks
- neural network
- feed forward
- echo state networks
- recurrent networks
- edge detection
- neural model
- traffic flow
- cascade correlation
- artificial neural networks
- complex valued
- long short term memory
- feedforward neural networks
- reservoir computing
- road network
- real time
- edge information
- traffic congestion
- hebbian learning
- chaotic time series
- edge detector
- nonlinear dynamic systems
- particle swarm optimization
- support vector
- multiscale
- artificial intelligence
- real world