ANÁLISIS Y PREDICCIÓN DE LA SERIE DE TIEMPO DEL PRECIO EXTERNO DEL CAFÉ COLOMBIANO UTILIZANDO REDES NEURONALES ARTIFICIALES
This article intends to design a non linear model for analysis and prediction of the time-series concerning the external price of Colombian coffee using rtificial Neural Networks. The main purpose is to compare the realm and limitations of proposed model and the linear prediction classic model ARIMA...
- Autores:
-
García Martín, Ismael; Departamento de Matemáticas Facultad de Ciencias Pontificia Universidad Javeriana, Bogotá
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2003
- Institución:
- Pontificia Universidad Javeriana
- Repositorio:
- Repositorio Universidad Javeriana
- Idioma:
- eng
- OAI Identifier:
- oai:repository.javeriana.edu.co:10554/31210
- Acceso en línea:
- http://revistas.javeriana.edu.co/index.php/scientarium/article/view/4855
http://hdl.handle.net/10554/31210
- Palabra clave:
- null
Time-series, ARIMA, Artificial Neural Networks.
null
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional
| Summary: | This article intends to design a non linear model for analysis and prediction of the time-series concerning the external price of Colombian coffee using rtificial Neural Networks. The main purpose is to compare the realm and limitations of proposed model and the linear prediction classic model ARIMA. |
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