Nonlinear time series forecasting using mars
One of the most important uses of artificial neural networks is to forecast non-linear time series, although model-building issues, such as input selection, model complexity and parameters estimation, remain without a satisfactory solution. More of research efforts are devoted to solve these issues....
- Autores:
-
Velásquez Henao, Juan David
Franco Cardona, Carlos Jaime
Camacho, Paula Andrea
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2014
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/73262
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/73262
http://bdigital.unal.edu.co/37737/
- Palabra clave:
- Artificial neural networks
comparative studies
ARIMA models
nonparametric methods.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional