Sales forecasting using time series and neural networks

被引：47

作者：

Ansuj, AP

Camargo, ME

Radharamanan, R

Petry, DG

机构：

[1] Ctr. of Nat. and Math. Sciences, Federal University of Santa Maria, Santa Maria (RS)

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 1996年 / 31卷 / 1-2期

关键词：

sales forecasting; ARIMA; neural networks; and back-propagation model;

D O I：

10.1016/0360-8352(96)00166-0

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents the use of time series ARIMA model with interventions, and neural network backpropagation model in analyzing the behavior of sales in a medium size enterprise located in Santa Maria (RS), Brazil for the period January 1979 - December 1989. The forecasts obtained using the backpropagation model were found to be more accurate than those of ARIMA model with interventions.

引用

页码：421 / 424

页数：4