Novel hybrid SVM-TLBO forecasting model incorporating dimensionality reduction techniques.
Shom Prasad DasN. Sangita AcharySudarsan PadhyPublished in: Appl. Intell. (2016)
Keyphrases
- forecasting model
- dimensionality reduction
- ls svm
- forecasting accuracy
- short term
- support vector machine svm
- support vector
- support vector regression
- feature selection
- support vector machine
- bp neural network
- stock index futures
- long term
- high dimensional data
- feature extraction
- rainfall runoff
- knn
- pattern recognition
- least squares
- generalization ability
- kernel function
- feature space
- linear discriminant analysis
- prediction model
- principal component analysis
- low dimensional
- data sets
- svm classifier
- high dimensionality
- k nearest neighbor
- high dimensional
- machine learning
- neural network
- principal components
- stock market
- feature vectors
- training data
- image processing
- training speed
- learning algorithm