Prediction of concrete elastic modulus using adaptive neuro-fuzzy inference system

Abstract

The prediction of elastic modulus is one of the fundamental facts of structural engineering studies. The performance of adaptive neuro-fuzzy inference system (ANFIS) for predicting the elastic modulus of normal- and high-strength concrete was investigated. Results indicate that the proposed ANFIS modeling approach outperforms the other given models in terms of prediction capability. According to the results, the ANFIS approach is a viable tool for modeling the elastic modulus, as it results in more accurate predictions.

Keywords:

• Adaptive neuro-fuzzy inference systems
• Concrete
• Compressive strength
• Elastic modulus