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|3 10.33858/0470-000-020-005
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|a ara
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|b الجزائر
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|9 526531
|a بن نور، فريد
|q Bin Nour, Farid
|e مؤلف
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|a إستخدام نماذج الذكاء الإصطناعي للتنبؤ باحتياطيات الصرف الأجنبي في الجزائر: نموذج الشبكات العصبية الإصطناعية ANN
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|a Using Artificial Intelligence Models to Predict the Algerian Foreign Exchange Reserves
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|b جامعة حسيبة بن بو علي بالشلف - مخبر العولمة واقتصاديات شمال إفريقيا
|c 2019
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300 |
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|a 67 - 82
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|a بحوث ومقالات
|b Article
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|b This study aims to predict the levels of foreign exchange reserves in Algeria by making use of one of the artificial intelligence means which is the Artificial Neural Networks (ANNs). The study also formulated a standard model to estimate the reserves’ size through analysing the resulted data using the multi-paradigm numerical computing environment Matlab. The most important results of the study reveal that using ANNs, which are considered as the latest and most prominent prediction tools, offers tiny error rates compared to other statistical models.
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|a الصرف الأجنبي
|a الذكاء الإصطناعي
|a الشبكات العصبية الإصطناعية
|a الاقتصاد الجزائري
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692 |
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|b Foreign Exchange Reserve
|b Time Series Analysis
|b Artificial Intelligence Models
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773 |
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|4 الاقتصاد
|6 Economics
|c 005
|e Journal of North African Economies
|f Mağallaẗ iqtiṣādiyāt šamāl ifrīqiyā
|l 020
|m ع20
|o 0470
|s مجلة إقتصاديات شمال إفريقيا
|v 000
|x 1112-6132
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700 |
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|9 526532
|a العربي، نايت مرزوق محمد
|q Alarabi, Nayet Marzouq Mohammed
|e م. مشارك
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856 |
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|u 0470-000-020-005.pdf
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|d y
|p y
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|a EcoLink
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|c 975809
|d 975809
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