Parameter identification for symbolic regression using nonlinear least squares.
Michael KommendaBogdan BurlacuGabriel KronbergerMichael AffenzellerPublished in: Genet. Program. Evolvable Mach. (2020)
Keyphrases
- parameter identification
- symbolic regression
- nonlinear least squares
- genetic programming
- least squares
- trust region
- levenberg marquardt
- image registration
- closed loop
- gene expression programming
- evolutionary computation
- fitness function
- fuzzy model
- evolutionary algorithm
- autoregressive
- artificial neural networks
- optimization methods
- neural network
- back propagation
- differential evolution
- parameter estimation
- higher order
- learning algorithm