(2014). Enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt, Using an Adaptive NeuroFuzzy Inference System. The Egyptian Statistical Journal, 58(2), 171-182. doi: 10.21608/esju.2014.314447
. "Enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt, Using an Adaptive NeuroFuzzy Inference System". The Egyptian Statistical Journal, 58, 2, 2014, 171-182. doi: 10.21608/esju.2014.314447
(2014). 'Enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt, Using an Adaptive NeuroFuzzy Inference System', The Egyptian Statistical Journal, 58(2), pp. 171-182. doi: 10.21608/esju.2014.314447
Enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt, Using an Adaptive NeuroFuzzy Inference System. The Egyptian Statistical Journal, 2014; 58(2): 171-182. doi: 10.21608/esju.2014.314447
Enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt, Using an Adaptive NeuroFuzzy Inference System
The foreign exchange reserves play an important role in Egyptian economy among other resources. The objective of the paper is to elaborate on enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt using Adaptive Neuro Fuzzy Inference System (ANFIS) as an alternative approach to regression analysis. Quarterly data used concern Suez Canal revenues; workers abroad remittances; exports; tourism revenues and foreign direct investment in Egypt. The data have been used as inputs to the model. ANFIS is one of the most successful approaches which combine the benefits of Artificial Neural Network (ANN) and Fuzzy Logic System (FLS) into a single framework. ANFIS incorporates self-learning ability of (ANN) with the linguistic expression function of fuzzy inference. The experimental results demonstrate that the ANFIS can be successfully applied and provides high accuracy in forecasting the foreign exchange reserves, compared to the regression model.
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