http://www.iaeme.com/IJARET/index.asp 545 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 6, June 2020, pp. 545-553, Article ID: IJARET_11_06_050 Available online athttp://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=6 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI: 10.34218/IJARET.11.6.2020.050 © IAEME Publication Scopus Indexed USING THE ARTIFICIAL NEURAL NETWORKS FOR PREDICTING COMPRESSIVE STRENGTH OF NORMALLY CONCRETES Dr. Ibrahim Farouq Varouqa Assistant Professor, Civil Engineering Department, Isra University, Jordan. Ibraheem.faroqa@iu.edu.jo ABSTRACT In this study Artificial Neural Networks (ANNs) models were developed for predicting the compressive strength, at the age of 28 days, of normally concretes. The experimental results used to construct the models were gathered from laboratory of Isra University - Amman in 2019. Total of 15 experimental design used for modeling ANN models. 80% in the training set, and 10% in the testing set, and 10% in the validation set. To construct the model, three input parameters were used to achieve one output parameter, referred to as the compressive strength of normally concrete. The results obtained in both, the training and testing phases strongly show the potential use of ANN to predict 28 days' compressive strength of normally concretes with average accuracy 90% and correlation coefficient 95%. Key words: Normally Concrete, Artificial neural network, Model. Cite this Article: Dr. Ibrahim Farouq Varouqa, Using the Artificial Neural Networks for Predicting Compressive Strength of Normally Concretes, International Journal of Advanced Research in Engineering and Technology, 11(6), 2020, pp. 545-553. http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=6 1. INTRODUCTION Conventional concrete is a mixture of cement, water, and coarse and fine aggregates. Supplementary components such as chemical and mineral admixtures may be added to the basic concrete ingredients to enhance its properties in fresh or hardened state. The procedure of selecting appropriate ingredients for concrete and its relative amount with the aim of producing concrete of obligatory strength, workability, and durability as cost-spinning as possible is termed mix design. The Compressive Strength of concrete determines the quality of concrete. This is generally determined by a standard crushing test on a concrete cylinder. This requires engineers to build small concrete cylinders with different combinations of raw materials and test these cylinders for strength variations with a change in each raw material. The recommended wait time for testing the cylinder is 28 days to ensure correct results. This