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314447

Enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt, Using an Adaptive NeuroFuzzy Inference System

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Last updated: 05 Jan 2025

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Abstract

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.   

DOI

10.21608/esju.2014.314447

Keywords

Adaptive NeuroFuzzy Inference System, artificial neural network, Fuzzy logic systems, and regression analysis

Volume

58

Article Issue

2

Related Issue

43135

Issue Date

2014-12-01

Publish Date

2014-12-01

Page Start

171

Page End

182

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_314447.html

Detail API

https://esju.journals.ekb.eg/service?article_code=314447

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4

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Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

Enhancing the Effectiveness of Forecasting the Foreign Exchange Reserves in Egypt, Using an Adaptive NeuroFuzzy Inference System

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Article

Created At

28 Dec 2024