A support vector regression model for time series forecasting of the COMEX copper spot price.
Esperanza García GonzaloPaulino José García NietoJavier Gracia RodríguezFernando Sánchez LasherasGregorio Fidalgo ValverdePublished in: Log. J. IGPL (2023)
Keyphrases
- regression model
- support vector
- support vector regression
- logistic regression
- generalized linear models
- model selection
- regression methods
- linear model
- gaussian process
- artificial neural networks
- regression analysis
- support vector machine
- kernel function
- cross validation
- kernel methods
- prediction model
- linear regression model
- logistic regression models
- explanatory variables
- multivariate regression
- machine learning
- regression trees
- independent variables
- thin film
- generalization ability
- neuro fuzzy
- radial basis function
- kernel regression
- classification accuracy
- feature selection
- interval valued data
- input variables
- hyperparameters
- regression method
- random variables
- loss function
- knn
- multiple linear regression
- neural network