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An investigation of back-propagation neural network on university selection


Maharani, Sitti Syarah and Yaakob, Razali and Udzir, Nur Izura (2015) An investigation of back-propagation neural network on university selection. In: 2nd International Conference on Computer, Communications, and Control Technology (I4CT 2015), 21-23 Apr. 2015, Kuching, Sarawak, Malaysia. (pp. 248-252).


Processing thousands of applications can be a challenging task, especially when the applicant does not consider the university requirements and their qualification, while in some cases, the selection officer may face difficulties in deciding if more than one candidate has the same qualification for a limited vacancy of a particular program. In this paper, we present an investigation on university selection using back-propagation neural network to assist the selection officer in selecting eligible applicants based on SPM results. The experiments have shown the back-propagation method produced better performance with the average more than 90% accuracy for student selection across all of sets of the test data.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/I4CT.2015.7219575
Publisher: IEEE
Keywords: Applicant; Back-propagation; Selection; Student; University; University requirements
Depositing User: Nabilah Mustapa
Date Deposited: 31 Jul 2017 09:01
Last Modified: 31 Jul 2017 09:01
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/I4CT.2015.7219575
URI: http://psasir.upm.edu.my/id/eprint/56339
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