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