Hybrid Model Feature Selection with the Bee Swarm Optimization Method and Q-Learning on the Diagnosis of Coronary Heart Disease.
Yaumi A. Z. A. Fajri WihartoEsti SuryaniPublished in: Inf. (2023)
Keyphrases
- hybrid model
- optimization method
- coronary heart disease
- feature selection
- particle swarm
- particle swarm optimization
- swarm intelligence
- optimization algorithm
- honey bee
- differential evolution
- clinical practice
- feature subset
- artificial neural networks
- genetic algorithm
- optimization methods
- simulated annealing
- metaheuristic
- evolutionary algorithm
- multi objective
- optimization process
- optimization procedure
- support vector machine
- particle swarm optimization pso
- hybrid models
- hybrid algorithm
- nelder mead simplex
- foraging behavior
- feature set
- learning algorithm
- support vector machine svm
- support vector regression
- model selection
- learning rate
- feature space
- pso algorithm
- selected features
- feature extraction
- fault diagnosis
- machine learning
- support vector
- computational intelligence
- convergence speed
- particle swarm optimization algorithm
- face recognition
- knn