Effects of the Neuron Permutation Problem on Training Artificial Neural Networks with Genetic Algorithms.
Iliyan ZankinskiPublished in: NAA (2016)
Keyphrases
- artificial neural networks
- neural network
- genetic algorithm
- feed forward neural networks
- multi layer perceptron
- activation function
- evolutionary artificial neural networks
- training algorithm
- output layer
- back propagation
- benchmark classification problems
- computational intelligence
- feedforward artificial neural networks
- feedforward neural networks
- neural network model
- neural models
- multilayer perceptron
- training process
- hidden layer
- using artificial neural networks
- feed forward
- soft computing
- bio inspired
- multi objective
- application of artificial neural networks
- neuron model
- test set
- synaptic weights
- neural nets
- radial basis function
- fuzzy logic
- evolutionary algorithm
- objective function
- training phase
- training speed
- population size
- supervised learning
- training examples
- training samples
- optimization method
- genetic algorithm ga
- optimization algorithm