استخدام الذكاء الاصطناعي للتنبؤ بأسعار البترول

Please use this identifier to cite or link to this item: http://dspace.univ-temouchent.edu.dz/handle/123456789/1697

Full metadata record

DC Field	Value	Language
dc.contributor.author	سنوسي, آسيا	-
dc.contributor.author	سلسلذهب, وئام	-
dc.contributor.author	سي محمد, كمال	-
dc.date.accessioned	2024-01-29T10:12:20Z	-
dc.date.available	2024-01-29T10:12:20Z	-
dc.date.issued	2023	-
dc.identifier.uri	http://dspace.univ-temouchent.edu.dz/handle/123456789/1697	-
dc.description.abstract	The use of artificial intelligence to forecast oil prices has been a topic of interest for many years. With the advancement of technology, it is now possible to analyze massive amounts of data and make accurate predictions. In this econometric study, we analyzed oil prices over the period from 1986-2023. Matlab software was used to analyze the data and test the error level of the neural network. The study concluded that the use of the artificial neural networks model in forecasting has a high quality, and this is what makes it help in drawing up the financial and economic policy of countries	en_US
dc.subject	artificial intelligence, artificial neural networks, oil prices, matlab program	en_US
dc.title	استخدام الذكاء الاصطناعي للتنبؤ بأسعار البترول	en_US
dc.title.alternative	دراسة قياسية بالجزائر من 1986-2023	en_US
dc.type	Thesis	en_US
Appears in Collections:	Sciences Financières et Comptabilitè

Files in This Item:

File	Description	Size	Format
معدلة الشبكات العصبية _compressed.pdf		1,88 MB	Adobe PDF	View/Open