Treffer: آلية النمذجة الحديثة للتنبؤ بتطور المؤسسات الاقتصادية -د ا رسة تجريبية-

This study aims to show the significance of current modeling techniques in tracking the evolution of economic institutions, applying a case study to predict prospects based on current and historical data, using an advanced neural network with long-term memory implemented in Python software. The study was concluded by establishing the best model with great predictive accuracy, suggesting a relative stability of the situation under evaluation in the near future. Moreover, the study's suggestions, based upon the experimental findings, highlighted the need to apply potential initiatives that promote activity and drive in the development and management of institutions, as this impacts the nation's economic future. [ABSTRACT FROM AUTHOR]

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