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Full Length Research Paper
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Fuzzy-logic
and Neural network Fuzzy forecasting of Iran GDP growth
Mirnaser Mirbagheri
Islamic Azad University, Ardebil branch, Ardebil, Iran.
E-mail:
Mirbagheri_hir@yahoo.com.
Accepted 1 April, 2010 |
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Abstract |
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Investigating the effective
factors which
effect
economic growth is important for most
economists. Although lots of studies have been done on economic
growth in the world, it gets little attentions in Iran. In this
article, by estimating GDP growth, we try to investigate the
supply side economic growth of Iran. Then we compare the
predictive results of Fuzzy-logic and Neural-Fuzzy methods. And
also by comparing the predictive results of methods for the
average annual growth, it is predicted that (5.92%) in
Neural-Fuzzy and (6.46%) in Fuzzy-logic in the related periods
that is 2002 - 2006. And by comparing criteria it has been
determined that, method Neural-Fuzzy predicts better than
Fuzzy-logic method. In other words, forecasting by the method
Neural-Fuzzy is recommended.
Key words:
Fuzzy neural network (FNN), Fuzzy-logic, forecasting,
government, business, effective decisions, planning.
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