Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg-Marquardt Algorithm.
Kit Yan ChanTharam S. DillonJaipal SinghElizabeth ChangPublished in: IEEE Trans. Intell. Transp. Syst. (2012)
Keyphrases
- short term
- levenberg marquardt
- long term
- forecasting model
- least squares
- exponential smoothing
- probabilistic model
- convergence rate
- learning algorithm
- traffic flow
- back propagation
- optimization algorithm
- training algorithm
- artificial neural networks
- neural network
- regression model
- cellular automata
- recurrent neural networks
- prediction model
- parameter estimation
- computer vision
- moving average
- load forecasting