A New Method for Generating Nonlinear Correction Models of Dynamic Objects Based on Semantic Genetic Programming.
Lukasz BartczukAlexander I. GalushkinPublished in: ICAISC (2) (2016)
Keyphrases
- genetic programming
- probabilistic model
- detection method
- pairwise
- computational cost
- objective function
- linear model
- dynamic programming
- segmentation method
- statistical model
- machine learning methods
- statistical methods
- cost function
- parametric models
- evolutionary algorithm
- preprocessing
- generation method
- hybrid model
- monte carlo simulation
- prediction model
- modeling method
- learning algorithm
- symbolic regression
- semantic information
- model selection
- em algorithm
- edge detection
- high accuracy
- least squares
- multi objective
- control system
- prior knowledge
- video sequences
- feature selection