Development models of artificial neural network and multiple linear regression for predicting compression index and compression ratio for soil compressibility of Ramadi City
Other Title(s)
تطوير نماذج من الشبكة العصبية الاصطناعية و الانحدار الخطي المتعدد للتنبؤ بدليل و نسبة الانضغاطية للترب الانضغاطية في مدينة الرمادي
Author
Source
al-Nahrain Journal for Engineering Sciences
Issue
Vol. 20, Issue 4 (31 Dec. 2017), pp.924-936, 13 p.
Publisher
Nahrain University College of Engineering
Publication Date
2017-12-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
American Psychological Association (APA)
Abd al-Karim, Ahmad. 2017. Development models of artificial neural network and multiple linear regression for predicting compression index and compression ratio for soil compressibility of Ramadi City. al-Nahrain Journal for Engineering Sciences،Vol. 20, no. 4, pp.924-936.
https://search.emarefa.net/detail/BIM-850771
Modern Language Association (MLA)
Abd al-Karim, Ahmad. Development models of artificial neural network and multiple linear regression for predicting compression index and compression ratio for soil compressibility of Ramadi City. al-Nahrain Journal for Engineering Sciences Vol. 20, no. 4 (2017), pp.924-936.
https://search.emarefa.net/detail/BIM-850771
American Medical Association (AMA)
Abd al-Karim, Ahmad. Development models of artificial neural network and multiple linear regression for predicting compression index and compression ratio for soil compressibility of Ramadi City. al-Nahrain Journal for Engineering Sciences. 2017. Vol. 20, no. 4, pp.924-936.
https://search.emarefa.net/detail/BIM-850771
Data Type
Journal Articles
Language
English
Record ID
BIM-850771
