اعتماد تقنية الشبكات العصبية في تحديد مستوى الفقر في العراق للسنوات الخمس الأخيرة : دراسة مقارنة

Other Title(s)

Adopting neural network technology to determine the level of poverty in Iraq for the last five years : a comparative study

Joint Authors

حسن، محمد مصطفى حسين
الفخري، نعمة عبد الله

Source

مجلة الشرق الأوسط : للعلوم الإنسانية و الثقافية

Publisher

Manar Elsharq for Studies and Publication

Publication Date

2021-12-31

Country of Publication

Jordan

No. of Pages

9

Main Subjects

Economics & Business Administration

English Abstract

The technical development of computer equipment and systems increases with the passage of time, as well as the Internet and the intranet, and governmental and non-governmental institutions have become in urgent need to shift to the information age and large databases, so the creation of advanced means, including artificial intelligence techniques, has been started, and artificial neural networks are one of the techniques of intelligence.

The industrial developed, so work has been started to extract knowledge from its reservoirs, reduce errors and shorten time.

The research represents a step to identify some of the factors affecting the level of poverty in Iraq and ways to address them, by making use of the vast capabilities of artificial neural networks in data analysis.

The theoretical side of the research dealt with clarifying the concept of poverty, the causes of its spread and its indicators, while the practical side dealt with the application of the Descent Conjugate Gradient and Back Propagation networks to find out the level of poverty in Iraq based on the indicators closest to the national poverty line in Iraq for the last five years in a comparative study to find which of the two networks is better.

Data Type

Conference Papers

Record ID

BIM-1425035

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