A global optimization method for model selection in chemical reactions networks.
Rafael BlanqueroEmilio CarrizosaAsunción Jiménez-CorderoJosé Francisco RodríguezPublished in: Comput. Chem. Eng. (2016)
Keyphrases
- model selection
- optimization method
- chemical reactions
- cross validation
- optimization algorithm
- optimization methods
- optimization process
- hyperparameters
- genetic algorithm
- differential evolution
- simulated annealing
- evolutionary algorithm
- sample size
- particle swarm
- optimization procedure
- bayesian learning
- parameter estimation
- metaheuristic
- chemical reaction
- regression model
- error estimation
- nelder mead simplex
- machine learning
- variable selection
- statistical inference
- selection criterion
- information criterion
- gaussian process
- model selection criteria
- parameter determination
- mixture model
- unsupervised learning
- feature selection
- generalization error
- bayesian information criterion
- search algorithm
- marginal likelihood
- objective function
- automatic model selection
- image segmentation
- random sampling
- genetic algorithm ga
- multi objective