Applications of Particle Swarm Optimization to System Identification and Supervised Learning.
Noah SchwalbEdward SchwalbPublished in: IEEE BigData (2020)
Keyphrases
- particle swarm optimization
- supervised learning
- pso algorithm
- unsupervised learning
- input output
- multi objective
- global optimization
- swarm intelligence
- particle swarm optimization pso
- differential evolution
- statistical learning
- particle swarm optimization algorithm
- semi supervised learning
- learning tasks
- reinforcement learning
- supervised classification
- convergence speed
- semi supervised
- training data
- machine learning
- hybrid algorithm
- recurrent neural networks
- unlabeled data
- ant colony optimization
- active learning
- genetic algorithm
- particle swarm
- training examples
- labeled data
- supervised machine learning
- learning algorithm
- inertia weight
- nonlinear dynamics
- learning problems
- particle swarm optimizer
- multiple instance learning
- data sets
- metaheuristic
- support vector
- real time
- genetic programming
- evolutionary algorithm
- artificial intelligence
- shuffled frog leaping algorithm