@article{(Open Science Index):https://publications.waset.org/pdf/3539,
	  title     = {Prediction of Compressive Strength of Self- Compacting Concrete with Fuzzy Logic},
	  author    = {Paratibha Aggarwal and  Yogesh Aggarwal},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {5},
	  number    = {5},
	  year      = {2011},
	  pages     = {774 - 781},
	  ee        = {https://publications.waset.org/pdf/3539},
	  url   	= {https://publications.waset.org/vol/53},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 53, 2011},
	}