Determining Suitable Program For SPM Holder Using Neural Network Approach

This study involves the development of a neural network (NN) prediction model proposed for the educational spanding spesifically in determining suitable program for SPM Holder . This module used for self-assesment prediction in web-based environment in order to get more user participation. The basi...

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主要作者: Noraisah, Sudin
格式: Thesis
语言:eng
eng
出版: 2002
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https://etd.uum.edu.my/684/2/1.NORAISAH_SUDIN.pdf
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spelling my-uum-etd.6842013-07-24T12:08:30Z Determining Suitable Program For SPM Holder Using Neural Network Approach 2002 Noraisah, Sudin Sekolah Siswazah Sekolah Siswazah QA76 Computer software This study involves the development of a neural network (NN) prediction model proposed for the educational spanding spesifically in determining suitable program for SPM Holder . This module used for self-assesment prediction in web-based environment in order to get more user participation. The basic architecture are multilayer feedforward networks, trained using the Backpropagation algorithm. The evaluation using 302 data sets showed that the developed architecture is very useful for high dimensional input vectors. The sample data has been collected from 4 study programs in four Ministry of Education Matriculation Centre, from UiTM and Shahputra College. The data was then trained using the proposed model. The findings show that the most suitable predictive model comprises of 35 nodes in input-layer; three nodes in hidden layer and one node in output-layer. The generalization performance of the selected model is 83.33%. This methodology should be able to provide us with some new insights into the type of patterns that exist in educational data. Therefore, NN has a great potential in supporting the policy development for the current education. 2002 Thesis https://etd.uum.edu.my/684/ https://etd.uum.edu.my/684/1/NORAISAH_SUDIN.pdf application/pdf eng validuser https://etd.uum.edu.my/684/2/1.NORAISAH_SUDIN.pdf application/pdf 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
Noraisah, Sudin
Determining Suitable Program For SPM Holder Using Neural Network Approach
description This study involves the development of a neural network (NN) prediction model proposed for the educational spanding spesifically in determining suitable program for SPM Holder . This module used for self-assesment prediction in web-based environment in order to get more user participation. The basic architecture are multilayer feedforward networks, trained using the Backpropagation algorithm. The evaluation using 302 data sets showed that the developed architecture is very useful for high dimensional input vectors. The sample data has been collected from 4 study programs in four Ministry of Education Matriculation Centre, from UiTM and Shahputra College. The data was then trained using the proposed model. The findings show that the most suitable predictive model comprises of 35 nodes in input-layer; three nodes in hidden layer and one node in output-layer. The generalization performance of the selected model is 83.33%. This methodology should be able to provide us with some new insights into the type of patterns that exist in educational data. Therefore, NN has a great potential in supporting the policy development for the current education.
format Thesis
qualification_name masters
qualification_level Master's degree
author Noraisah, Sudin
author_facet Noraisah, Sudin
author_sort Noraisah, Sudin
title Determining Suitable Program For SPM Holder Using Neural Network Approach
title_short Determining Suitable Program For SPM Holder Using Neural Network Approach
title_full Determining Suitable Program For SPM Holder Using Neural Network Approach
title_fullStr Determining Suitable Program For SPM Holder Using Neural Network Approach
title_full_unstemmed Determining Suitable Program For SPM Holder Using Neural Network Approach
title_sort determining suitable program for spm holder using neural network approach
granting_institution Universiti Utara Malaysia
granting_department Sekolah Siswazah
publishDate 2002
url https://etd.uum.edu.my/684/1/NORAISAH_SUDIN.pdf
https://etd.uum.edu.my/684/2/1.NORAISAH_SUDIN.pdf
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