International Journal of Modern Education and Computer Science (IJMECS)
IJMECS Vol. 4, No. 7, 8 Jul. 2012
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Students Classification With Adaptive Neuro Fuzzy
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Author(s)
Mohammad Saber Iraji
1,*
Majid Aboutalebi
2
Naghi. R. Seyedaghaee
3
Azam Tosinia
3
Index Terms
Adaptive neuro fuzzy, Neural network, Students classification, Lvq
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.
Cite This Paper
Mohammad Saber Iraji, Majid Aboutalebi, Naghi. R. Seyedaghaee, Azam Tosinia, "Students Classification With Adaptive Neuro Fuzzy", International Journal of Modern Education and Computer Science (IJMECS), vol.4, no.7, pp.42-49, 2012. DOI:10.5815/ijmecs.2012.07.06
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