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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| Format: | Thesis |
| Language: | en en |
| Published: |
2000
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| 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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| _version_ | 1833435338274504704 |
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| author | Robizah, Haji Sudin |
| author_facet | Robizah, Haji Sudin |
| author_sort | Robizah, Haji Sudin |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.uum.etd-203 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2000 |
| 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. |
| spellingShingle | QA76 Computer software Robizah, Haji Sudin Neural Network Prediction Of SPM Achievement |
| title | 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_short | Neural Network Prediction Of SPM Achievement |
| title_sort | neural network prediction of spm achievement |
| topic | QA76 Computer software |
| 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/ |
| url_provider | http://etd.uum.edu.my/ |