Research on PSO-SVM base wine grade recognition based on Max-Relevance and Min-Redundancy feature selection.
Jiaping YangDongping RenYong LiuHailong ZhouYunquan SunPublished in: Concurr. Comput. Pract. Exp. (2024)
Keyphrases
- feature selection
- support vector
- minimum redundancy
- feature extraction
- support vector machine svm
- support vector machine
- feature relevance
- particle swarm optimization pso
- particle swarm optimization
- knn
- object recognition
- recognition rate
- machine learning
- multi class
- small sample
- feature ranking
- mutual information
- text classification
- feature space
- selected features
- particle swarm optimization algorithm
- text categorization
- pattern recognition
- feature set
- feature subset
- information retrieval
- particle swarm optimizer
- recognition algorithm
- information gain
- unsupervised learning
- svm rfe
- pso algorithm
- bayes classifier
- feature selection algorithms
- input features
- model selection
- genetic algorithm
- classification performances
- particle swarm optimisation
- evolutionary algorithm
- text classifiers
- gene selection
- convergence speed
- action recognition
- optimal parameters
- feature weighting
- multi objective
- multi task
- optimization algorithm
- kernel function
- differential evolution
- feature vectors
- genetic algorithm ga
- svm classifier