A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting.
Shuhaida IsmailAni ShabriRuhaidah SamsudinPublished in: Expert Syst. Appl. (2011)
Keyphrases
- self organizing maps
- hybrid model
- ls svm
- artificial neural networks
- least squares support vector machine
- arima model
- input variables
- neural network
- support vector machine
- least squares
- competitive learning
- support vector machine svm
- radial basis function
- variable selection
- unsupervised learning
- generalization ability
- cross validation
- input data
- topology preserving
- neural gas
- back propagation
- bp neural network
- prediction model
- rbf neural network
- svm classifier
- parameter estimation
- k means
- hyperparameters
- som neural network
- support vector regression
- support vector
- k nearest neighbor
- genetic algorithm
- multilayer perceptron
- correlation coefficient
- neural network model
- feature space
- model selection
- knn
- image data
- pattern recognition
- machine learning