A new hyper-parameter optimization method for machine learning in fault classification.
Xingchen YeLiang GaoXinyu LiLong WenPublished in: Appl. Intell. (2023)
Keyphrases
- optimization method
- machine learning
- optimization methods
- optimization algorithm
- hyperparameters
- model selection
- decision trees
- differential evolution
- supervised learning
- feature selection
- optimization process
- support vector machine
- particle swarm
- evolutionary algorithm
- feature extraction
- simulated annealing
- support vector
- optimization procedure
- metaheuristic
- genetic algorithm
- cross validation
- training set
- fault diagnosis
- nelder mead simplex
- feature vectors
- multiscale
- parameter settings
- incremental learning
- high dimensional
- data mining
- neural network