A Prediction of Time Series Driving Motion Scenarios Using LSTM and ESN.
Mohammad Reza Chalak QazaniFarzin TabarsinezhadHoushyar AsadiChee Peng LimAdetokunbo ArogbonloShehab AlsanwyShadi MohamedMehrdad RostamiSaeid NahavandiPublished in: SMC (2022)
Keyphrases
- recurrent neural networks
- chaotic time series
- financial time series
- prediction accuracy
- mackey glass
- exponential smoothing
- motion analysis
- motion estimation
- optical flow
- motion prediction
- space time
- image sequences
- moving average
- motion detection
- prediction model
- reference frame
- feed forward
- motion model
- camera motion
- motion capture
- prediction algorithm
- real world
- motion parameters
- neural network
- moving objects
- forecasting accuracy
- spatial and temporal
- motion field
- prediction error
- dynamic scenes
- motion planning
- stock market
- visual perception
- object motion
- dynamic time warping
- multivariate time series
- structure from motion
- short term
- non stationary
- feature points
- motion segmentation