On the hardness of parameter optimization of convolution neural networks using genetic algorithm and machine learning.
Hyeon-Chang LeeDong-Pil YuYong-Hyuk KimPublished in: GECCO (Companion) (2018)
Keyphrases
- parameter optimization
- genetic algorithm
- machine learning
- neural network
- genetic algorithm ga
- pattern recognition
- differential evolution
- artificial neural networks
- fuzzy logic
- fitness function
- support vector machine
- simulated annealing
- multi objective
- parameter estimation
- decision trees
- optimization algorithm
- evolutionary algorithm
- real time
- particle swarm optimization
- learning algorithm
- data mining
- population size
- genetic programming
- back propagation
- image processing
- particle swarm optimization pso
- parameter settings
- fuzzy systems