Two-Level Genetic Algorithm for Evolving Convolutional Neural Networks for Pattern Recognition.
Daniel A. MontecinoClaudio A. PerezKevin W. BowyerPublished in: IEEE Access (2021)
Keyphrases
- convolutional neural networks
- pattern recognition
- genetic algorithm
- neural network
- convolutional network
- fitness function
- machine learning
- multi objective
- evolution process
- image processing
- evolutionary computation
- signal processing
- genetic operators
- evolutionary algorithm
- computer vision
- parallel distributed processing
- graph matching
- support vector machine svm
- fuzzy sets
- pattern analysis
- real coded
- genetic search
- pattern recognition problems
- artificial neural networks
- population size
- evolutionary process
- image analysis
- mutation operator
- multi objective optimization
- simulated annealing
- pattern classification
- genetic algorithm ga
- genetic programming
- speech recognition
- learning algorithm
- search algorithm
- multi population
- feature extraction
- particle swarm optimization
- moment invariants
- job shop scheduling problem
- hybrid algorithm
- optimization method