Neural Network and Time Series as Tools for Sales Forecasting

نویسندگان

  • Maria Camargo
  • Walter Priesnitz Filho
  • Marcelo Pinto
  • Angela Santos
چکیده

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.

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تاریخ انتشار 2004