A Genetic Algorithm with Adaptive Mutations and Family Competition for Training Neural Networks.
Jinn-Moon YangJorng-Tzong HorngCheng-Yan KaoPublished in: Int. J. Neural Syst. (2000)
Keyphrases
- genetic algorithm
- neural network
- training process
- training algorithm
- feedforward neural networks
- artificial neural networks
- feed forward neural networks
- multi layer perceptron
- fuzzy logic
- neural network training
- backpropagation algorithm
- pattern recognition
- evolutionary process
- back propagation
- particle swarm optimization
- fitness function
- evolutionary computation
- training patterns
- training set
- simulated annealing
- optimization method
- genetic programming
- training phase
- multi objective
- evolutionary algorithm
- metaheuristic
- differential evolution
- learning algorithm
- hidden layer
- recurrent networks
- genetic algorithm ga
- supervised learning
- learning classifier systems
- neural network structure
- population size
- active learning
- mutation operator
- test set
- fuzzy systems
- fuzzy rules