A simulated-annealing-based approach for simultaneous parameter optimization and feature selection of back-propagation networks.
Shih-Wei LinTsung-Yuan TsengShuo-Yan ChouShih-Chieh ChenPublished in: Expert Syst. Appl. (2008)
Keyphrases
- parameter optimization
- back propagation
- simulated annealing
- genetic algorithm ga
- genetic algorithm
- artificial neural networks
- neural network
- feature selection
- feed forward
- feed forward neural networks
- bp neural network
- fuzzy logic
- differential evolution
- bp algorithm
- parameter settings
- hidden layer
- pid controller
- learning algorithm
- evolutionary algorithm
- parameter estimation
- fitness function
- particle swarm optimization pso
- metaheuristic
- support vector machine
- activation function
- machine learning
- support vector
- generalization ability
- closed loop
- missing data
- model selection