The scientific and technological achievements trigger people’s desire to learn new things and sometimes it turns into a competition among individuals. The competitive environmental so makes an important psychological pressure on individuals and it may manipulate their choices about their educational careers. Artificial neural networks are widely utilized to reach to a short-cut solution and as a method of decision making. The role of the machine learning techniques and data mining algorithms to define the factors affecting students’ success is important. The aim of this research is to make predictions about these factors by using Adaptive-Network Based Fuzzy Inference Systems (ANFIS). Student Performance data set in UCI platform is used for classification part of this study.