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
收藏
页码：421 / 424
页数：4
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