Volume 9, Issue 2 (4-2019)                   2019, 9(2): 251-272 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sharifi Y, Hosseinpour M. ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM AND STEPWISE REGRESSION FOR COMPRESSIVE STRENGTH ASSESSMENT OF CONCRETE CONTAINING METAKAOLIN. International Journal of Optimization in Civil Engineering. 2019; 9 (2) :251-272
URL: http://ijoce.iust.ac.ir/article-1-387-en.html
Abstract:   (70 Views)
In the current study two methods are evaluated for predicting the compressive strength of concrete containing metakaolin. Adaptive neuro-fuzzy inference system (ANFIS) model and stepwise regression (SR) model are developed as a reliable modeling method for simulating and predicting the compressive strength of concrete containing metakaolin at the different ages. The required data in training and testing state obtained from a reliable data base. Then, a comparison has been made between proposed ANFIS model and SR model to have an idea about the predictive power of these methods.
Full-Text [PDF 1268 kb]   (29 Downloads)    
Type of Study: Research | Subject: Applications
Received: 2018/10/3 | Accepted: 2018/10/3 | Published: 2018/10/3

Add your comments about this article : Your username or Email:
CAPTCHA code

© 2018 All Rights Reserved | Iran University of Science & Technology

Designed & Developed by : Yektaweb