Application of Adaptive Neuro- Fuzzy Inference System for the prediction of Early Age Strength of High Performance Concrete

This paper deals with the design of a model based on Adaptive Neural Fuzzy Inference System (ANFIS) for the prediction of early age (3 days) compressive strength of concrete. The model is generated by a dataset having 8 parameters. these are converted into 7 inputs viz. Cement, Flyash, BFS, water, Superplasticizer, Coarse aggregates, and fine aggregates and 1 output i.e. 3 days compressive strength. The model was trained and tested using hybrid method of learning. The results produced Training and checking errors as 0.153MPa and 1.212MPa respectively making ANFIS very much appropriate for this purpose.