Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification.
Javad Salimi SartakhtiHomayun AfrabandpeyMohamad SaraeePublished in: Soft Comput. (2017)
Keyphrases
- pattern classification
- simulated annealing
- least squares
- support vector machine
- decision boundary
- tabu search
- evolutionary algorithm
- metaheuristic
- genetic algorithm
- maximum margin
- feature extraction
- nearest neighbor rule
- pattern recognition
- genetic algorithm ga
- svm classifier
- vowel recognition
- feature selection
- mass spectrometry data
- support vector
- support vector machine svm
- optical flow
- hybrid algorithm
- kernel methods
- machine learning
- feature vectors
- radial basis function
- probabilistic neural network
- levenberg marquardt
- k nearest neighbor
- generalization ability
- fuzzy classifier
- training set
- training data
- pattern classification problems
- parzen window
- radial basis function neural network
- kernel function
- particle swarm optimization pso
- object recognition
- discriminant embedding
- image classification
- data mining
- dimensionality reduction
- feature space