A Hybrid Particle Swarm Optimization Algorithm with Dynamic Adjustment of Inertia Weight Based on a New Feature Selection Method to Optimize SVM Parameters.
Jing WangXingyi WangXiongfei LiJiacong YiPublished in: Entropy (2023)
Keyphrases
- particle swarm optimization algorithm
- inertia weight
- particle swarm optimization
- support vector machine svm
- feature selection
- convergence speed
- cost function
- pso algorithm
- standard pso
- particle swarm
- support vector
- support vector machine
- feature set
- classification method
- classification accuracy
- optimization algorithm
- evolution strategy
- multilevel thresholding
- neural network
- particle swarm optimization pso
- svm classifier
- tabu search
- artificial neural networks
- feature extraction