Predicting Determinants of Financial Inclusion through Socioeconomic Indicators of Egypt: A Comparative Study of Traditional and Artificial Intelligence (AI)-Based Approaches

This research explores the multidimensional determinants of financial inclusion in Egypt through the application of traditional econometric techniques namely, Bootstrap Regression Analysis as well as state-of-the-art artificial intelligence (AI) algorithms that include Random Forest (RF) and Support...

詳細記述

書誌詳細

第一著者:	وائل مصطفى حسن محمد
フォーマット:	Artigo
言語:	Árabe
出版事項:	Faculty of Commerce, Port Said University 2025-07-01
シリーズ:	Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ
主題:	financial inclusion bootstrap regression ai machine learning random forest (rf) and support vector regression (svr)
オンライン･アクセス:	https://jsst.journals.ekb.eg/article_433799_a3eb3cfe41762a3b3e5583c49bda3457.pdf
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