Gold price prediction using radial basis function neural network

Gold is a precious metal once widely used as a standard for monetary exchange but was replaced by paper currency mostly used today. However interest in gold trading and investment has resurfaced recently in Malaysia probably due to its price stability. Samples of gold that are used as investment inc...

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Bibliographic Details
Main Author:	Mohd. Hussein, Shamsul Faisal
Format:	Thesis
Published:	2010
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.26765
record_format	uketd_dc
spelling	my-utm-ep.267652017-08-16T09:22:04Z Gold price prediction using radial basis function neural network 2010 Mohd. Hussein, Shamsul Faisal TK Electrical engineering. Electronics Nuclear engineering Gold is a precious metal once widely used as a standard for monetary exchange but was replaced by paper currency mostly used today. However interest in gold trading and investment has resurfaced recently in Malaysia probably due to its price stability. Samples of gold that are used as investment include the Kijang Emas. Public Dinar and the Public Gold which are currently available to the general public in Malaysia. This project will involve developing a system to aid a gold investor in deciding the best time in the future to buy or sell gold. The system developed is based on existing gold data time series and algorithms based on Artificial Neural Networks. The system should be able to give daily prediction to its users. 2010 Thesis http://eprints.utm.my/id/eprint/26765/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Gold+price+prediction+using+radial+basis+function+neural+network&te= masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Mohd. Hussein, Shamsul Faisal Gold price prediction using radial basis function neural network
description	Gold is a precious metal once widely used as a standard for monetary exchange but was replaced by paper currency mostly used today. However interest in gold trading and investment has resurfaced recently in Malaysia probably due to its price stability. Samples of gold that are used as investment include the Kijang Emas. Public Dinar and the Public Gold which are currently available to the general public in Malaysia. This project will involve developing a system to aid a gold investor in deciding the best time in the future to buy or sell gold. The system developed is based on existing gold data time series and algorithms based on Artificial Neural Networks. The system should be able to give daily prediction to its users.
format	Thesis
qualification_level	Master's degree
author	Mohd. Hussein, Shamsul Faisal
author_facet	Mohd. Hussein, Shamsul Faisal
author_sort	Mohd. Hussein, Shamsul Faisal
title	Gold price prediction using radial basis function neural network
title_short	Gold price prediction using radial basis function neural network
title_full	Gold price prediction using radial basis function neural network
title_fullStr	Gold price prediction using radial basis function neural network
title_full_unstemmed	Gold price prediction using radial basis function neural network
title_sort	gold price prediction using radial basis function neural network
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2010
_version_	1747815505440276480

Gold price prediction using radial basis function neural network

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