Abstract— Identifying exceptional students for

scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limited tutoring resources. In this article, we have tried to design an intelligent system which can separate and classify student according to learning factor and performance. a system is proposed through Lvq networks methods, anfis method to separate these student on learning factor . In our proposed system, adaptive fuzzy neural network(anfis) has less error and

can be used as an effective alternative system for classifying students. -Abstract—　Identifying　exceptional　students　for

scholarships is an essential part of the admissions process in　undergraduate　and　postgraduate　institutions,　and identifying　weak　students who　are　likely　to　fail　is　also important for allocating limited tutoring resources. In this article,　we　have　tried　to　design　an　intelligent　system which　can　separate　and　classify　student　　according　to learning　factor　and　performance.　a　system　is　proposed through Lvq　networks methods, anfis method to separate these student on learning factor . In our proposed system, adaptive　fuzzy　neural　network(anfis)　has　less　error　and　

can　be　used　as　an　effective　alternative　system　for classifying students.