%0 Journal Article %A Paratibha Aggarwal and Yogesh Aggarwal %D 2011 %J International Journal of Mathematical and Computational Sciences %B World Academy of Science, Engineering and Technology %I Open Science Index 53, 2011 %T Prediction of Compressive Strength of Self- Compacting Concrete with Fuzzy Logic %U https://publications.waset.org/pdf/3539 %V 53 %X The paper presents the potential of fuzzy logic (FL-I) and neural network techniques (ANN-I) for predicting the compressive strength, for SCC mixtures. Six input parameters that is contents of cement, sand, coarse aggregate, fly ash, superplasticizer percentage and water-to-binder ratio and an output parameter i.e. 28- day compressive strength for ANN-I and FL-I are used for modeling. The fuzzy logic model showed better performance than neural network model. %P 774 - 781