Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm.
Fernando ItanoMiguel Angelo de Abreu de SousaEmilio Del-Moral-HernandezPublished in: IJCNN (2018)
Keyphrases
- genetic algorithm
- artificial neural networks
- hyperparameters
- parameter optimization
- multilayer perceptron
- neural network
- model selection
- back propagation
- genetic algorithm ga
- multi layer perceptron
- cross validation
- bayesian inference
- closed form
- random sampling
- prior information
- bayesian framework
- support vector
- sample size
- gaussian process
- evolutionary algorithm
- variational bayes
- radial basis function
- maximum a posteriori
- differential evolution
- fitness function
- maximum likelihood
- missing values
- image processing
- decision trees
- prior knowledge
- probabilistic model
- simulated annealing
- noise level
- em algorithm
- neural network model
- genetic programming
- incremental learning
- ls svm
- bayesian methods
- lower bound