A Study of Neuro-Fuzzy Inference System for Gross Domestic Product Growth Forecasting

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.

Authors:

• Ε. Giovanis

Keywords:

• Autoregressive model
• Forecasting
• Gross DomesticProduct
• Neuro-Fuzzy

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