Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani

With the rapid development of technology todays, the development of computer and network communication technology also no exceptions change. Due to this development, most applications are accessible internet network. As the result, most people are more comfortable to do their daily activity or task...

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Main Author:	Sahrani, Muhammad Naqiuddin
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/68118/1/68118.pdf
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id	my-uitm-ir.68118
record_format	uketd_dc
spelling	my-uitm-ir.681182023-08-17T02:50:07Z Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani 2015 Sahrani, Muhammad Naqiuddin Neural networks (Computer science) Computer networks. General works. Traffic monitoring With the rapid development of technology todays, the development of computer and network communication technology also no exceptions change. Due to this development, most applications are accessible internet network. As the result, most people are more comfortable to do their daily activity or task using internet because it more easily to done without moving from one place. As increasing of online user, other problems also have been raised together such as network traffic and might be lead to worsen problem. If this problem occurs, users might have problem to access the server. Predicting internet traffic is one of the solutions that can help to overcome this problem. Countermeasures steps can be taken before any problems occur and can give good quality services to the customers. There are many studies that already done before which the main idea is to predict internet traffic. The differences between these studies are their methods to approach this problem. Most of their study based on Artificial Neural Network and combined with other methods.0 Any changes in network traffic can be detected and can analyses steps can be done to detect the causes of die changes. This study is to approach main problems which to predict internet traffic more effectively using Non-Linear Auto Regressive Moving Average (NARMA) Model. This study will compare two models which are artificial neural network and polynomial of NARMA model. The performance of those NARMA model will be evaluated by using model fitting and model validation tests. 2015 Thesis https://ir.uitm.edu.my/id/eprint/68118/ https://ir.uitm.edu.my/id/eprint/68118/1/68118.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Yassin, Ihsan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Yassin, Ihsan
topic	Neural networks (Computer science) Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Neural networks (Computer science) Sahrani, Muhammad Naqiuddin Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
description	With the rapid development of technology todays, the development of computer and network communication technology also no exceptions change. Due to this development, most applications are accessible internet network. As the result, most people are more comfortable to do their daily activity or task using internet because it more easily to done without moving from one place. As increasing of online user, other problems also have been raised together such as network traffic and might be lead to worsen problem. If this problem occurs, users might have problem to access the server. Predicting internet traffic is one of the solutions that can help to overcome this problem. Countermeasures steps can be taken before any problems occur and can give good quality services to the customers. There are many studies that already done before which the main idea is to predict internet traffic. The differences between these studies are their methods to approach this problem. Most of their study based on Artificial Neural Network and combined with other methods.0 Any changes in network traffic can be detected and can analyses steps can be done to detect the causes of die changes. This study is to approach main problems which to predict internet traffic more effectively using Non-Linear Auto Regressive Moving Average (NARMA) Model. This study will compare two models which are artificial neural network and polynomial of NARMA model. The performance of those NARMA model will be evaluated by using model fitting and model validation tests.
format	Thesis
qualification_level	Master's degree
author	Sahrani, Muhammad Naqiuddin
author_facet	Sahrani, Muhammad Naqiuddin
author_sort	Sahrani, Muhammad Naqiuddin
title	Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
title_short	Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
title_full	Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
title_fullStr	Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
title_full_unstemmed	Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani
title_sort	comparison between artificial neural network and non-linear auto regressive moving average (narma) models for internet traffic / muhammad naqiuddin sahrani
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/68118/1/68118.pdf
_version_	1783735755559927808

Comparison between artificial neural network and non-linear auto regressive moving average (NARMA) models for internet traffic / Muhammad Naqiuddin Sahrani

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