@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}, }