A study on the ability of support vector regression and neural networks to forecast basic time series patterns

Recently, novel learning algorithms such as Support Vector Regression (SVR) and Neural Networks (NN) have received increasing attention in forecasting and time series prediction, offering attractive theoretical properties and successful applications in several real world problem domains. Commonly, t...

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Detalles Bibliográficos
Autores principales: Crone, Sven F., Weber, Richard, Guajardo, José
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
learning algorithms
comparison
Radial Basis Functions (RBF)
Neural nets
Algorithms
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23879
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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