Parameter Tuning of MLP, RBF, and ANFIS Models Using Genetic Algorithm in Modeling and Classification Applications.
Sam AnsariKhawla A. AlnajjarSaeed AbdallahMohamed SaadAli A. El-MoursyPublished in: ICIT (2021)
Keyphrases
- parameter tuning
- neural network
- genetic algorithm
- artificial neural networks
- multi layer perceptron
- radial basis function
- radial basis function network
- classification models
- support vector machine svm
- model selection
- modeling framework
- multi layered perceptron
- mlp neural networks
- pattern recognition
- support vector
- models built
- machine learning algorithms
- experimental data
- neural network model
- classification accuracy
- fuzzy logic
- decision trees
- multilayer perceptron
- pairwise
- ink bleed
- parameter settings
- genetic algorithm ga
- text classification
- support vector machine
- feature vectors
- training set
- feature space
- parameter values
- rbf network
- pattern classification
- radial basis function neural network
- feature selection