Bayesian optimization based dynamic ensemble for time series forecasting.
Liang DuRuobin GaoPonnuthurai Nagaratnam SuganthanDavid Z. W. WangPublished in: Inf. Sci. (2022)
Keyphrases
- neural network
- optimization problems
- optimization process
- ensemble learning
- dynamic environments
- ensemble methods
- combinatorial optimization
- dynamic optimization
- bayesian methods
- constrained optimization
- optimization algorithm
- maximum likelihood
- prediction accuracy
- database
- global optimization
- simulated annealing
- random forests
- mobile robot
- artificial neural networks
- bayesian estimation
- discrete optimization
- training set
- monte carlo sampling