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ERIC Number: ED500088
Record Type: Non-Journal
Publication Date: 2007-May
Pages: 5
Abstractor: Author
Analyzing the Factors Affecting the Success in University Entrance Examination through the use of Artificial Neural Networks
Agdelen, Zafer; Haydar, Ali; Kanani, Andisheh
Online Submission, Paper presented at the International Educational Technology (IETC) Conference (7th, Nicosia, Turkish Republic of Northern Cyprus, May 3-5, 2007)
There are many factors that affect the success of students in university entrance examination. These factors can be mainly categorized as follows; social factors, environmental factors, economical factors etc. The main aim of this study is to find whether there is a relation between these factors and the success in the university entrance examination. To achieve this goal, we use radial basis functions (RBF) network which is one of the artificial neural networks approach used to find a relation between input and output variables nonlinearly. From the experimental results, we observed that the relation between the input variables that corresponds to social, economical and environmental factors and the output variable can be modeled nonlinearly using radial basis functions network. (Contains 2 figures and 1 table.)
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: High Schools; Higher Education; Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A