Theoretically Optimal Parameter Choices for Support Vector Regression Machines with Noisy Input.
Shitong WangJiagang ZhuFu-Lai ChungLin QingDewen HuPublished in: Soft Comput. (2005)
Keyphrases
- support vector regression
- optimal parameters
- parameter choices
- kernel function
- support vector
- support vector machine svm
- regression model
- response surface methodology
- optimal solution
- extreme learning machine
- nonlinear regression
- hybrid model
- kernel learning
- support vector classification
- electronic equipment
- wavelet frame
- back propagation neural network
- forecasting accuracy
- hybrid genetic
- singular spectrum analysis
- support vector machine
- long term
- nearest neighbor
- knn
- artificial neural networks
- pattern recognition
- multiscale
- genetic algorithm
- machine learning