Of Students Academic Performance Rates Using Artificial Neural Networks (ANNs)

O. C. Asogwa^1, and A. V.Oladugba²

¹Department of Mathematics, Computer Science, Statistics and Informatics, Federal University Ndufu-Alike Ikwo

²Department of Statistics, University of Nigeria, Nsukka

Cite this paper

O. C. Asogwa and A. V.Oladugba. Of Students Academic Performance Rates Using Artificial Neural Networks (ANNs). American Journal of Applied Mathematics and Statistics. 2015; 3(4):151-155. doi: 10.12691/AJAMS-3-4-3

Abstract

A model based on the multilayer perception algorithm was programmed. The result from the test data evaluation showed that the programmed Artificial Neural Network model was able to correctly predict and classify the performance of students with Mean Correct Classification Rate CCR of 97.07%.

Keywords

mean correct classification rate, Artificial Neural Networks (ANNs), Predictive models

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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