Neural Network Prediction Of SPM Achievement

The purpose of this study is to build a neural network model for prediction of SPM achievement for the students in a Malaysian secondary school. The neural network model uses multi-layer perceptron involving a backpropagation algorithm and the tangent sigmoid as the transfer function. This study doe...

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Bibliographic Details
Main Author:	Robizah, Haji Sudin
Format:	Thesis
Language:	eng eng
Published:	2000
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/203/1/ROBIZAH_BT._HJ._SUDIN_-_Neural_network_prediction_of_SPM_achievement.pdf https://etd.uum.edu.my/203/2/1.ROBIZAH_BT._HJ._SUDIN_-_Neural_network_prediction_of_SPM_achievement.pdf
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id	my-uum-etd.203
record_format	uketd_dc
spelling	my-uum-etd.2032022-06-07T04:32:22Z Neural Network Prediction Of SPM Achievement 2000 Robizah, Haji Sudin Sekolah Siswazah Sekolah Siswazah QA76 Computer software The purpose of this study is to build a neural network model for prediction of SPM achievement for the students in a Malaysian secondary school. The neural network model uses multi-layer perceptron involving a backpropagation algorithm and the tangent sigmoid as the transfer function. This study does not only consider the students’ grades for the core subjects that they take in the SPM but also the student gender. Based on the model results, the real exam performance is to be predicted. This study shows that neural network can be trained with students’ data to predict their achievement in the SPM examination. 2000 Thesis https://etd.uum.edu.my/203/ https://etd.uum.edu.my/203/1/ROBIZAH_BT._HJ._SUDIN_-_Neural_network_prediction_of_SPM_achievement.pdf text eng public https://etd.uum.edu.my/203/2/1.ROBIZAH_BT._HJ._SUDIN_-_Neural_network_prediction_of_SPM_achievement.pdf text eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA76 Computer software
spellingShingle	QA76 Computer software Robizah, Haji Sudin Neural Network Prediction Of SPM Achievement
description	The purpose of this study is to build a neural network model for prediction of SPM achievement for the students in a Malaysian secondary school. The neural network model uses multi-layer perceptron involving a backpropagation algorithm and the tangent sigmoid as the transfer function. This study does not only consider the students’ grades for the core subjects that they take in the SPM but also the student gender. Based on the model results, the real exam performance is to be predicted. This study shows that neural network can be trained with students’ data to predict their achievement in the SPM examination.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Robizah, Haji Sudin
author_facet	Robizah, Haji Sudin
author_sort	Robizah, Haji Sudin
title	Neural Network Prediction Of SPM Achievement
title_short	Neural Network Prediction Of SPM Achievement
title_full	Neural Network Prediction Of SPM Achievement
title_fullStr	Neural Network Prediction Of SPM Achievement
title_full_unstemmed	Neural Network Prediction Of SPM Achievement
title_sort	neural network prediction of spm achievement
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2000
url	https://etd.uum.edu.my/203/1/ROBIZAH_BT._HJ._SUDIN_-_Neural_network_prediction_of_SPM_achievement.pdf https://etd.uum.edu.my/203/2/1.ROBIZAH_BT._HJ._SUDIN_-_Neural_network_prediction_of_SPM_achievement.pdf
_version_	1747826859757797376

Neural Network Prediction Of SPM Achievement

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