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Fuzzy-logic and Neural network Fuzzy forecasting of Iran GDP growth

机译:伊朗GDP增长的模糊逻辑与神经网络模糊预测

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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.
机译:对于大多数经济学家来说,研究影响经济增长的有效因素很重要。尽管已对世界经济增长进行了大量研究,但在伊朗却很少受到关注。在本文中,通过估算GDP增长,我们尝试调查伊朗的供应方经济增长。然后,我们比较了模糊逻辑和神经模糊方法的预测结果。并且还通过比较这些方法对年平均增长率的预测结果,可以预测在2002年至2006年的相关时期内,神经模糊和模糊逻辑的预测分别为(5.92%)和(6.46%)。已经确定,神经模糊方法比模糊逻辑方法具有更好的预测能力。换句话说,建议使用神经模糊方法进行预测。

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