Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran

This report presents the application of Artificial Neural Network (ANN) for the prediction of resource management in W-CDMA systems. The objective is to determine whether MATLAB Artificial Neural Network (ANN) Toolbox could be used to predict the future resource demand of W-CDMA systems. Artificial...

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Bibliographic Details
Main Author:	Tukiran, Siti Rahmah
Format:	Thesis
Language:	English
Published:	2008
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/68051/1/68051.PDF
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id	my-uitm-ir.68051
record_format	uketd_dc
spelling	my-uitm-ir.680512022-10-31T08:20:07Z Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran 2008 Tukiran, Siti Rahmah Neural networks (Computer science) Wireless communication systems. Mobile communication systems. Access control This report presents the application of Artificial Neural Network (ANN) for the prediction of resource management in W-CDMA systems. The objective is to determine whether MATLAB Artificial Neural Network (ANN) Toolbox could be used to predict the future resource demand of W-CDMA systems. Artificial Neural Network can be one of the promises for the future computing problems. They offer on ability to perform tasks efficiently from outside the scope of traditional processors. They offer an ability to perform task efficiently from outside the scope of traditional processor. They can recognize pattern within vast dataset and generalize those patterns into recommended courses of action to achieve desired target. The backpropagation algorithm of Artificial Neural Network has been chosen to train and test the data. This method is chosen since it is the fastest technique that can be used to produce a successful result. 2008 Thesis https://ir.uitm.edu.my/id/eprint/68051/ https://ir.uitm.edu.my/id/eprint/68051/1/68051.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mohd Ali, Darmaway
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Ali, Darmaway
topic	Neural networks (Computer science) Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Neural networks (Computer science) Tukiran, Siti Rahmah Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran
description	This report presents the application of Artificial Neural Network (ANN) for the prediction of resource management in W-CDMA systems. The objective is to determine whether MATLAB Artificial Neural Network (ANN) Toolbox could be used to predict the future resource demand of W-CDMA systems. Artificial Neural Network can be one of the promises for the future computing problems. They offer on ability to perform tasks efficiently from outside the scope of traditional processors. They offer an ability to perform task efficiently from outside the scope of traditional processor. They can recognize pattern within vast dataset and generalize those patterns into recommended courses of action to achieve desired target. The backpropagation algorithm of Artificial Neural Network has been chosen to train and test the data. This method is chosen since it is the fastest technique that can be used to produce a successful result.
format	Thesis
qualification_level	Bachelor degree
author	Tukiran, Siti Rahmah
author_facet	Tukiran, Siti Rahmah
author_sort	Tukiran, Siti Rahmah
title	Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran
title_short	Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran
title_full	Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran
title_fullStr	Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran
title_full_unstemmed	Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran
title_sort	resource management for w-cdma systems using artificial neural network / siti rahmah tukiran
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2008
url	https://ir.uitm.edu.my/id/eprint/68051/1/68051.PDF
_version_	1783735750069583872

Resource management for W-CDMA systems using artificial neural network / Siti Rahmah Tukiran

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