Forecasting of time series with trend and seasonal cycle using the airline model and artificial neural networks

Many time series with trend and seasonal cycles are successfully modeled and predicted using the airline model of Box and Jenkins; However, the presence of nonlinearities in the data is neglected by this model. In this article, a new non-linear version of the airline model is proposed; for this, the...

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Autores:
Velásquez, J D
Franco, C J
Tipo de recurso:
Fecha de publicación:
2012
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/14444
Acceso en línea:
http://hdl.handle.net/10784/14444
Palabra clave:
Prediction
Nonlinear Models
Sarima
Multilayer Perceptron
Predicción
Modelos No Lineales
Sarima
Perceptrón Multicapa
Rights
License
Copyright (c) 2012 J D Velásquez, C J Franco