Constrained Motion Particle Swarm Optimization and Support Vector Regression for Non-linear Time Series Regression and Prediction Applications.
Nicholas I. SapankevychRavi SankarPublished in: ICMLA (2) (2013)
Keyphrases
- support vector regression
- forecasting accuracy
- particle swarm optimization
- autoregressive conditional heteroscedasticity
- singular spectrum analysis
- regression model
- hybrid model
- load forecasting
- support vector
- rainfall forecasting
- support vector machine svm
- kernel function
- regression method
- prediction model
- forecasting model
- pso algorithm
- support vector classification
- motion estimation
- image sequences
- wavelet frame
- financial time series
- particle swarm optimization algorithm
- optical flow
- nonlinear regression
- global optimization
- response surface methodology
- data sets
- support vector machine
- differential evolution
- motion analysis
- motion model
- multi objective
- linear regression model
- motion field
- neural network
- semi parametric
- particle swarm
- ann models
- moving objects