Prediction of elastic modulus of normal and high strength concrete by support vector machine

Elastic modulus is an important property of concrete and is used to calculate deformation of structures. Support vector machine (SVM) is firmly based on learning theory and uses regression technique by introducing accuracy insensitive loss function. This paper investigates the use of SVM to predict elastic modulus of normal and high strength concrete. The elastic modulus predicted by SVM was compared with the experimental data and those from other prediction models. SVM demonstrated good performance and proven to be better than other models.