Gas Concentration Forecasting Based on Support Vector Regression in Correlation Space via KPCA.
Jian ChengJian-Sheng QianGuang-dong NiuYi-Nan GuoPublished in: ISNN (1) (2009)
Keyphrases
- support vector regression
- kernel function
- regression model
- support vector
- forecasting accuracy
- response surface methodology
- support vector machine svm
- forecasting model
- support vector machine
- hybrid model
- load forecasting
- input space
- feature vectors
- hybrid genetic
- support vector classification
- extreme learning machine
- genetic algorithm
- kernel methods
- wavelet neural network
- nonlinear regression
- face recognition
- wavelet frame
- back propagation neural network
- feature space
- long term
- preprocessing
- pattern recognition
- learning algorithm
- machine learning
- financial time series forecasting
- singular spectrum analysis