Using a neural network to forecast inflation

被引：22

作者：

Aiken, M ^{[1
]}

机构：

[1] Univ Mississippi, University, MS 38677 USA

来源：

INDUSTRIAL MANAGEMENT & DATA SYSTEMS | 1999年 / 99卷 / 7-8期

关键词：

inflation; forecasting; neural networks; decision making;

D O I：

10.1108/02635579910291984

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Forecasting inflation is a major concern for economists and businessmen. Most researchers have relied upon statistical techniques with their stringent data assumptions and low accuracy rates to predict changes in inflation. but only a few have investigated how neural networks can improve forecasts. Here, we show the results of Consumer Price Index (CPI) forecasts from an artificial neural network using leading economic indicator data in the USA. Results show that the neural network predicts the level of the CPI with a high degree of accuracy.

引用

页码：296 / 301

页数：6