Fuzzy Nonlinear Regression Model Based on LS-SVM in Feature Space.
Dug Hun HongChangha HwangPublished in: FSKD (2006)
Keyphrases
- ls svm
- nonlinear regression
- support vector machine
- feature space
- linear regression
- least squares
- feature vectors
- fuzzy sets
- multi class
- membership functions
- kernel function
- fuzzy logic
- cross validation
- feature selection
- generalization ability
- support vector regression
- partial least squares
- high dimensional
- principal component analysis
- prediction model
- training set
- fuzzy rules
- fuzzy clustering
- support vector
- svm classifier
- input data
- regression method
- high dimensionality
- support vector machine svm
- variable selection
- k nearest neighbor
- input variables
- hyperparameters
- data points
- input space
- pattern recognition
- knn
- improved algorithm
- training data
- feature extraction
- low dimensional
- radial basis function
- gaussian process
- data sets
- regression problems