Naghi. R. Seyedaghaee

Work place: Department of Computer Engineering, Aliabad Katoul Branch, Islamic Azad University,Aliabad Katoul, Iran

E-mail: Sn_seyedaghaee@yahoo.com

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Biography

Author Articles
Students Classification With Adaptive Neuro Fuzzy

By Mohammad Saber Iraji Majid Aboutalebi Naghi. R. Seyedaghaee Azam Tosinia

DOI: https://doi.org/10.5815/ijmecs.2012.07.06, Pub. Date: 8 Jul. 2012

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.

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