%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