Artificial Neural Network Model for Predicting the Compressive Strength of Concrete using Ultrasonic Pulse Velocity
Other Title(s)
نموذج الشبكات العصبية الاصطناعية للتنبؤ بمقاومة الانضغاط للخرسانة باستخدام سرعة الموجات فوق الصوتية.
Joint Authors
Yusuf, Salim
Abd al-Karim, Umar M.
Source
Muthanna Journal of Engineering and Technology
Issue
Vol. 5, Issue 1 (30 Apr. 2017), pp.72-79, 8 p.
Publisher
al-Muthanna University College of Engineering
Publication Date
2017-04-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Natural & Life Sciences (Multidisciplinary)
American Psychological Association (APA)
Yusuf, Salim& Abd al-Karim, Umar M.. 2017. Artificial Neural Network Model for Predicting the Compressive Strength of Concrete using Ultrasonic Pulse Velocity. Muthanna Journal of Engineering and Technology،Vol. 5, no. 1, pp.72-79.
https://search.emarefa.net/detail/BIM-958953
Modern Language Association (MLA)
Yusuf, Salim& Abd al-Karim, Umar M.. Artificial Neural Network Model for Predicting the Compressive Strength of Concrete using Ultrasonic Pulse Velocity. Muthanna Journal of Engineering and Technology Vol. 5, no. 1 (2017), pp.72-79.
https://search.emarefa.net/detail/BIM-958953
American Medical Association (AMA)
Yusuf, Salim& Abd al-Karim, Umar M.. Artificial Neural Network Model for Predicting the Compressive Strength of Concrete using Ultrasonic Pulse Velocity. Muthanna Journal of Engineering and Technology. 2017. Vol. 5, no. 1, pp.72-79.
https://search.emarefa.net/detail/BIM-958953
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-958953