Hybrid MPSO-CNN: Multi-level Particle Swarm optimized hyperparameters of Convolutional Neural Network.
Pratibha SinghSantanu ChaudhuryBijaya Ketan PanigrahiPublished in: Swarm Evol. Comput. (2021)
Keyphrases
- convolutional neural network
- particle swarm
- particle swarm optimization algorithm
- hyperparameters
- particle swarm optimization
- model selection
- cross validation
- face detection
- bayesian inference
- pso algorithm
- closed form
- convergence speed
- random sampling
- bayesian framework
- support vector
- sample size
- prior information
- premature convergence
- em algorithm
- maximum likelihood
- swarm intelligence
- optimisation problems
- global optimization
- noise level
- particle swarm optimization pso
- maximum a posteriori
- incremental learning
- neural network
- incomplete data
- global search
- search capabilities
- hybrid algorithm
- differential evolution
- standard pso
- missing values
- particle swarm optimizer
- parameter space
- multi swarm
- convergence rate
- particle swarm optimisation
- evolution strategy
- parameter settings
- noisy images
- prior knowledge
- artificial intelligence
- genetic algorithm
- machine learning