A time-series forecasting approach based on KPCA-LSSVM for lake water pollution.
Jianjun NiHuawei MaLi RenPublished in: FSKD (2012)
Keyphrases
- ls svm
- water pollution
- least squares support vector machine
- multi agent
- monitoring system
- kernel principal component analysis
- least squares
- grid technology
- kernel pca
- cross validation
- kernel methods
- artificial neural networks
- generalization ability
- support vector machine
- prediction model
- variable selection
- face recognition
- support vector
- input variables
- structural svm
- feature space
- improved algorithm
- feature vectors
- rbf neural network
- hyperparameters
- correlation coefficient
- principal components
- radial basis function
- data mining
- kernel function
- parameter estimation
- neural network
- input space
- principal component analysis
- support environment
- decision making
- knowledge management
- feature extraction
- grid computing
- test set
- fuzzy rules
- data sets