Predicting The Area Of Specialization Using Neural Network

Prediction is one of the unique capabilities of neural network technology. This approach can be used in any area where knowledge is highly structured and can be represented in patterns. Neural networks have been used as a mechanism for a lot of industries such as in education, businesses, finance,...

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Main Author:	Nurulisma, Hj. Ismail
Format:	Thesis
Language:	eng eng
Published:	2002
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/715/1/NURULISMA_BT._HAJI_ISMAIL.pdf https://etd.uum.edu.my/715/2/1.NURULISMA_BT._HAJI_ISMAIL.pdf
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id	my-uum-etd.715
record_format	uketd_dc
spelling	my-uum-etd.7152013-07-24T12:08:39Z Predicting The Area Of Specialization Using Neural Network 2002 Nurulisma, Hj. Ismail Sekolah Siswazah Sekolah Siswazah QA76 Computer software Prediction is one of the unique capabilities of neural network technology. This approach can be used in any area where knowledge is highly structured and can be represented in patterns. Neural networks have been used as a mechanism for a lot of industries such as in education, businesses, finance, banking, medicine, space science, marketing and others. A lot of real problems that can be predicted in order to obtain the most effective decision-making in the future. The objective of this study is to evaluate neural network techniques in predicting the area of specialization of Bachelor in Information Technology (B.I.T.) students at Universiti Utara Malaysia (UUM). In order to gain the best performance of the data, the method used is supervised learning. The study covers a brief discussion on the neural network concepts, the methodology used and the area of specialization dataset as a case study and allso including a brief discussion on supervised learning. The development of application involves data collection and management, then followed by neural network simulator for training and testing. The data used for training and testing the network was provided by Sekolah Teknologi Maklumat, Universiti Utara Malaysia. The best network model produced a prediction accuracy of 95.79 %. This clearly shows that neural network has a potential to be used for building education decision support system. 2002 Thesis https://etd.uum.edu.my/715/ https://etd.uum.edu.my/715/1/NURULISMA_BT._HAJI_ISMAIL.pdf application/pdf eng validuser https://etd.uum.edu.my/715/2/1.NURULISMA_BT._HAJI_ISMAIL.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 Nurulisma, Hj. Ismail Predicting The Area Of Specialization Using Neural Network
description	Prediction is one of the unique capabilities of neural network technology. This approach can be used in any area where knowledge is highly structured and can be represented in patterns. Neural networks have been used as a mechanism for a lot of industries such as in education, businesses, finance, banking, medicine, space science, marketing and others. A lot of real problems that can be predicted in order to obtain the most effective decision-making in the future. The objective of this study is to evaluate neural network techniques in predicting the area of specialization of Bachelor in Information Technology (B.I.T.) students at Universiti Utara Malaysia (UUM). In order to gain the best performance of the data, the method used is supervised learning. The study covers a brief discussion on the neural network concepts, the methodology used and the area of specialization dataset as a case study and allso including a brief discussion on supervised learning. The development of application involves data collection and management, then followed by neural network simulator for training and testing. The data used for training and testing the network was provided by Sekolah Teknologi Maklumat, Universiti Utara Malaysia. The best network model produced a prediction accuracy of 95.79 %. This clearly shows that neural network has a potential to be used for building education decision support system.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Nurulisma, Hj. Ismail
author_facet	Nurulisma, Hj. Ismail
author_sort	Nurulisma, Hj. Ismail
title	Predicting The Area Of Specialization Using Neural Network
title_short	Predicting The Area Of Specialization Using Neural Network
title_full	Predicting The Area Of Specialization Using Neural Network
title_fullStr	Predicting The Area Of Specialization Using Neural Network
title_full_unstemmed	Predicting The Area Of Specialization Using Neural Network
title_sort	predicting the area of specialization using neural network
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2002
url	https://etd.uum.edu.my/715/1/NURULISMA_BT._HAJI_ISMAIL.pdf https://etd.uum.edu.my/715/2/1.NURULISMA_BT._HAJI_ISMAIL.pdf
_version_	1747826980620861440

Predicting The Area Of Specialization Using Neural Network

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