JCE_V6_N2_RP1 Faezehossadat Khademi Sayed Mohammadmehdi Jamal Journal on Civil Engineering 2249 - 0779 6 2 1 7 Concrete, Artificial Neural Network (ANN), 28 days Compressive Strength Predicting the compressive strength of concrete has always been a difficulty, since the concrete is sensitive to its mixture components, methods of mixing, compaction, curing conditions, etc. Scientists have proposed different methods for predicting the compressive strength of concrete. Some of these methods have been successful, however, some others were not suitable enough to predict the compressive strength of concrete. The aim of this study is to evaluate the capability of Artificial Neural Network Model (ANN) in predicting the 28 days compressive strength of concrete. Therefore, considering the specific concrete characteristics as input variables, Artificial Neural Network Model is constructed and the compressive strength of concrete is predicted. Results show that ANN is a suitable model to predict the 28 days compressive strength of concrete. March - May 2016 Copyright © 2016 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=5936