A comparison of time series forecasting between artificial neural networks and box and jenkins methods

A comparison of time series forecasting between artificial neural networks and box and jenkins methods

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This paper deals with a comparison between Box and Jenkins methodologies and Artificial Neural Networks on time series forecasting. ARIMA and Transfer Function Models are compared with Neural Network Models. Performance oft he building models are analysed using comparative criteria during the predi...

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Bibliographic Details
Main Authors: Joanna Collantes Duarte, Gerardo Colmenares La Cruz, Giampaolo Orlandoni Merli, Franklin Rivas Echeverría
Format: Article
Language:English
Published: Universidad del Zulia 2010-10-01
Series:Revista Técnica de la Facultad de Ingeniería
Subjects:
forecasting time series
Box and Jenkins methodology
ARIMA model
transfer function model
artificial neural network
neo-fuzzy neuron
Online Access:https://www.produccioncientificaluz.org/index.php/tecnica/article/view/5855

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https://www.produccioncientificaluz.org/index.php/tecnica/article/view/5855

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