A study of neuro-fuzzy inference system for gross domestic product growth forecasting

被引：0
|
作者：
Giovanis, E. [1 ]
机构：
[1] Royal Holloway University of London, Department of Economics, Egham, Surrey TW20 0EX, United Kingdom
来源：
World Academy of Science, Engineering and Technology | 2010年 / 64卷
关键词：
Fuzzy inference - Fuzzy neural networks - Fuzzy systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper we present a Adaptive Neuro-Fuzzy System (ANFIS) with inputs the lagged dependent variable for the prediction of Gross domestic Product growth rate in six countries. We compare the results with those of Autoregressive (AR) model. We conclude that the forecasting performance of neuro-fuzzy-system in the out-of-sample period is much more superior and can be a very useful alternative tool used by the national statistical services and the banking and finance industry.
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页码：681 / 686
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