TY  - JOUR
TT  - Predicting the Compressive Strength of Reactive Powder Concretes by ANFIS
AU  - Topçu, İlker Bekir
AU  - Gülbandılar, Eyyüp
AU  - Koca, Ahmet Burak
PY  - 2018
DA  - March
DO  - 10.2339/politeknik.385923
JF  - Politeknik Dergisi
PB  - Gazi University
WT  - DergiPark
SN  - 2147-9429
SP  - 165
EP  - 171
VL  - 21
IS  - 1
KW  - Reaktif pudra betonu
KW  - basınç dayanımı
KW  - ANFIS
N2  - This study is designed to investigate the experimentalresults of Reactive Powder Concretes (RPC) with the adaptive neural fuzzyinference systems (ANFIS) prediction model. In order to construct this model,the compressive strengths of 42 samples on the 7th and 28th days were obtainedfrom the experiments for the training stages of the ANFIS model. This data wasused on ANFIS model as hydration day, 8 input parameters including Portlandcement, silica smoke, quartz sand, sand, water, super plasticizer and steelfiber and compressive strength of concrete as output parameter. The ANFIS modelpresented training performance with 0.015 error. When ANFIS test resultscompared with experimental results, it found that R2, RMS and MAPEwere statistically accurate to 0.9909, 0.027 and 0.0004, respectively. The testresults show that ANFIS model is a convenient to use and simple model forestimating the compressive strengths of 7th and 28th days of RPC
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UR  - https://doi.org/10.2339/politeknik.385923
L1  - https://dergipark.org.tr/en/download/article-file/413805
ER  -