A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for mixed-variable CNN hyperparameter automatic search.
Han YanChongquan ZhongYuhu WuLiyong ZhangWei LuPublished in: Frontiers Inf. Technol. Electron. Eng. (2023)
Keyphrases
- optimization algorithm
- gaussian process
- hybrid model
- particle swarm optimization
- multi objective
- gaussian processes
- differential evolution
- particle swarm optimization pso
- hyperparameters
- pso algorithm
- hybrid optimization algorithm
- regression model
- model selection
- optimization method
- bayesian framework
- global search
- evolutionary algorithm
- search algorithm
- latent variables
- hybrid algorithm
- support vector machine svm
- search space
- artificial neural networks
- swarm intelligence
- particle swarm
- semi supervised
- artificial bee colony
- convergence speed
- support vector regression
- honey bee
- pattern recognition
- closed form
- particle swarm optimization algorithm
- neural network
- support vector machine
- bayesian networks
- training data
- image processing
- genetic algorithm