دوره 9، شماره 2 - ( 1-1398 )
جلد 9 شماره 2 صفحات 272-251 |
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Sharifi Y, Hosseinpour M. ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM AND STEPWISE REGRESSION FOR COMPRESSIVE STRENGTH ASSESSMENT OF CONCRETE CONTAINING METAKAOLIN. IJOCE 2019; 9 (2) :251-272
URL: http://ijoce.iust.ac.ir/article-1-387-fa.html
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. عنوان نشریه. 1398; 9 (2) :251-272
چکیده: (19819 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.
نوع مطالعه: پژوهشي |
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دریافت: 1397/7/11 | پذیرش: 1397/7/11 | انتشار: 1397/7/11
دریافت: 1397/7/11 | پذیرش: 1397/7/11 | انتشار: 1397/7/11
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