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....

Full description

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