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العنوان
Using Deep Genetic Algorthim And Transfer Reinforcement Learning To Forecast Crude Oil Price =
المؤلف
NAMES, AWS HASAN.
هيئة الاعداد
مشرف / AWS HASAN NAMES
مشرف / Usama Abo Rawash
مشرف / Yasser Fouad Mahmoud Hassan
مناقش / Yasser Fouad Mahmoud Hassan
الموضوع
Crude Oil. Genetic Algorthim.
تاريخ النشر
2021.
عدد الصفحات
61 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الرياضيات
تاريخ الإجازة
6/10/2021
مكان الإجازة
جامعة الاسكندريه - كلية العلوم - Mathematics and Computer Science
الفهرس
Only 14 pages are availabe for public view

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Abstract

Crude oil is an essential pillar in building world economies and it is a very important source for generating all kinds of energy and other industries. Oil prices are unstable, greatly affected by international politics and issues of war and peace, which affects supply and demand. Predicting the price of crude oil is necessary because all countries deal and are directly interested in oil prices.