دوره 9، شماره 2 - ( 1-1398 )                   جلد 9 شماره 2 صفحات 251-272 | برگشت به فهرست نسخه ها

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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-fa.html
ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM AND STEPWISE REGRESSION FOR COMPRESSIVE STRENGTH ASSESSMENT OF CONCRETE CONTAINING METAKAOLIN. دانشگاه علم و صنعت ایران. 1398; 9 (2) :251-272

URL: http://ijoce.iust.ac.ir/article-1-387-fa.html


چکیده:   (321 مشاهده)
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.
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نوع مطالعه: پژوهشي | موضوع مقاله: Applications
دریافت: ۱۳۹۷/۷/۱۱ | پذیرش: ۱۳۹۷/۷/۱۱ | انتشار: ۱۳۹۷/۷/۱۱

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