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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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Main Author:	Robizah, Haji Sudin
Format:	Thesis
Language:	English English
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 https://etd.uum.edu.my/203/
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id	my.uum.etd.203
record_format	eprints
spelling	my.uum.etd.2032022-06-07T04:32:22Z https://etd.uum.edu.my/203/ Neural Network Prediction Of SPM Achievement Robizah, Haji Sudin 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 NonPeerReviewed text en https://etd.uum.edu.my/203/1/ROBIZAH_BT._HJ._SUDIN_-_Neural_network_prediction_of_SPM_achievement.pdf text en https://etd.uum.edu.my/203/2/1.ROBIZAH_BT._HJ._SUDIN_-_Neural_network_prediction_of_SPM_achievement.pdf Robizah, Haji Sudin (2000) Neural Network Prediction Of SPM Achievement. Masters thesis, Universiti Utara Malaysia.
institution	Universiti Utara Malaysia
building	UUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Utara Malaysia
content_source	UUM Electronic Theses
url_provider	http://etd.uum.edu.my/
language	English English
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
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
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 https://etd.uum.edu.my/203/
_version_	1735388981851324416
score	13.211869

Neural Network Prediction Of SPM Achievement

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