التنبؤ بمؤشر سوق العراق للأوراق المالية باستخدام نظام الشبكات العصبية الاصطناعية
Author
Source
Issue
Vol. 17, Issue 34 (sup 3) (31 Dec. 2021), pp.410-436, 27 p.
Publisher
University of Misan Faculty of Education
Publication Date
2021-12-31
Country of Publication
Iraq
No. of Pages
27
Main Subjects
Financial and Accounting Sciences
Topics
Abstract EN
This research deals with the prediction of the Iraqi Stock Exchange index using the artificial neural network system, The problem of research was the scarcity of studies that dealt with the use of the system of neural networks in the Iraqi Stock Exchange, although there are many within this area at the global and Arab levels, The study assumes that it is possible to predict the value and direction of the Iraq Stock Exchange index using the artificial neural network system, The study aimed to design a model of artificial neural networks for the purpose of predicting the value and direction of the market index and putting this model in the hands of its participants from investors, analysts and financial intermediaries to assist in the decision making process, The research concluded that it is possible to build a model of artificial neural networks in which the market indicator can be accurately predicted
American Psychological Association (APA)
مشتاق طالب عبد الحميد. 2021. التنبؤ بمؤشر سوق العراق للأوراق المالية باستخدام نظام الشبكات العصبية الاصطناعية. مجلة أبحاث ميسان،مج. 17، ع. 34 (sup 3)، ص ص. 410-436.
https://search.emarefa.net/detail/BIM-1420262
Modern Language Association (MLA)
مشتاق طالب عبد الحميد. التنبؤ بمؤشر سوق العراق للأوراق المالية باستخدام نظام الشبكات العصبية الاصطناعية. مجلة أبحاث ميسان مج. 17، ع. 34 (الملحق الثالث) (كانون الأول 2021)، ص ص. 410-436.
https://search.emarefa.net/detail/BIM-1420262
American Medical Association (AMA)
مشتاق طالب عبد الحميد. التنبؤ بمؤشر سوق العراق للأوراق المالية باستخدام نظام الشبكات العصبية الاصطناعية. مجلة أبحاث ميسان. 2021. مج. 17، ع. 34 (sup 3)، ص ص. 410-436.
https://search.emarefa.net/detail/BIM-1420262
Data Type
Journal Articles
Language
Arabic
Notes
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Record ID
BIM-1420262