A Hybrid Approach Based on Genetic Algorithm and Particle Swarm Optimization to Improve Neural Network Classification.
Nabil M. HewahiEnas Abu HamraPublished in: J. Inf. Technol. Res. (2017)
Keyphrases
- genetic algorithm
- particle swarm optimization
- neural network
- pattern recognition
- learning vector quantization
- artificial neural networks
- binary decision tree
- multi objective
- support vector
- image classification
- classification scheme
- evolutionary algorithm
- training set
- classification accuracy
- fuzzy logic
- differential evolution
- fitness function
- support vector machine svm
- incremental learning
- supervised learning
- support vector machine
- feature extraction
- text classification
- genetic programming
- feature vectors
- preprocessing
- classification algorithm
- pso algorithm
- particle swarm
- machine learning
- probabilistic neural network
- automatic classification
- training process
- recurrent neural networks
- pattern classification
- classification rules
- classification method
- genetic algorithm ga
- control system
- decision trees
- neural network model
- classification models
- ant colony optimization
- metaheuristic
- back propagation
- multi layer perceptron
- simulated annealing
- evolutionary strategy
- feature set
- kohonen self organizing map