NEURAL NETWORK AND TIME SERIES AS TOOLS FOR SALES FORECASTING

Maria Emilia Camargo, Walter Priesnitz Filho, Marcelo Mahado Barbosa Pinto, Angela Isabel dos Santos

Abstract

This paper presents the use of times series AutoRegressive Integrated Moving Average ARIMA(p,d,q) model with interventions, and neural network back-propagation model in analyzing the behavior of sales in a medium size enterprise located in Rio Grande do Sul Brazil for the period January 1984 – December 2000. The forecasts obtained using the neural network back-propagation model were found to be more accurate than those of ARIMA model with interventions.

References

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  2. Box, G.E.P. and Jenkins, G.M., 1970, Time Series Analysis: Forecasting and Control. San Francisco. Holden-Day.
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Paper Citation


in Harvard Style

Emilia Camargo M., Priesnitz Filho W., Mahado Barbosa Pinto M. and Isabel dos Santos A. (2004). NEURAL NETWORK AND TIME SERIES AS TOOLS FOR SALES FORECASTING . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 476-478. DOI: 10.5220/0002648304760478


in Bibtex Style

@conference{iceis04,
author={Maria Emilia Camargo and Walter Priesnitz Filho and Marcelo Mahado Barbosa Pinto and Angela Isabel dos Santos},
title={NEURAL NETWORK AND TIME SERIES AS TOOLS FOR SALES FORECASTING},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={476-478},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002648304760478},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - NEURAL NETWORK AND TIME SERIES AS TOOLS FOR SALES FORECASTING
SN - 972-8865-00-7
AU - Emilia Camargo M.
AU - Priesnitz Filho W.
AU - Mahado Barbosa Pinto M.
AU - Isabel dos Santos A.
PY - 2004
SP - 476
EP - 478
DO - 10.5220/0002648304760478