A decision support system to select candidates for the computer science degree course based on neural networks

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Main Author: Kathitasapathy, Shanmugapathy
Format: Thesis
Published: 2003
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id my-utm-ep.42591
record_format uketd_dc
spelling my-utm-ep.425912017-09-27T13:14:10Z A decision support system to select candidates for the computer science degree course based on neural networks 2003 Kathitasapathy, Shanmugapathy HD Industries. Land use. Labor 2003 Thesis http://eprints.utm.my/id/eprint/42591/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=A+decision+support+system+to+select+candidates+for+the+computer+science+degree+course+based+on+neural+networks&te= masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic HD Industries
Land use
Labor
spellingShingle HD Industries
Land use
Labor
Kathitasapathy, Shanmugapathy
A decision support system to select candidates for the computer science degree course based on neural networks
description
format Thesis
qualification_level Master's degree
author Kathitasapathy, Shanmugapathy
author_facet Kathitasapathy, Shanmugapathy
author_sort Kathitasapathy, Shanmugapathy
title A decision support system to select candidates for the computer science degree course based on neural networks
title_short A decision support system to select candidates for the computer science degree course based on neural networks
title_full A decision support system to select candidates for the computer science degree course based on neural networks
title_fullStr A decision support system to select candidates for the computer science degree course based on neural networks
title_full_unstemmed A decision support system to select candidates for the computer science degree course based on neural networks
title_sort decision support system to select candidates for the computer science degree course based on neural networks
granting_institution Universiti Teknologi Malaysia, Faculty of Computing
granting_department Faculty of Computing
publishDate 2003
_version_ 1747816806873038848