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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IEEE Explorer
2011
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my.utm.291772017-02-04T07:39:43Z http://eprints.utm.my/id/eprint/29177/ Gold price prediction using radial basis function neural network Hussein, S. F. M. Shah, M. B. N. Jalal, M. R. A. Shah Abdullah, Shahrum QA75 Electronic computers. Computer science 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. IEEE Explorer 2011 Book Section PeerReviewed Hussein, S. F. M. and Shah, M. B. N. and Jalal, M. R. A. and Shah Abdullah, Shahrum (2011) Gold price prediction using radial basis function neural network. In: 2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011. IEEE Explorer, USA, 001-011. ISBN 978-145770005-7 http://dx.doi.org/10.1109/ICMSAO.2011.5775457 10.1109/ICMSAO.2011.5775457 |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Hussein, S. F. M. Shah, M. B. N. Jalal, M. R. A. Shah Abdullah, Shahrum 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 |
Book Section |
| author |
Hussein, S. F. M. Shah, M. B. N. Jalal, M. R. A. Shah Abdullah, Shahrum |
| author_facet |
Hussein, S. F. M. Shah, M. B. N. Jalal, M. R. A. Shah Abdullah, Shahrum |
| author_sort |
Hussein, S. F. M. |
| 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 |
| publisher |
IEEE Explorer |
| publishDate |
2011 |
| url |
http://eprints.utm.my/id/eprint/29177/ http://dx.doi.org/10.1109/ICMSAO.2011.5775457 |
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1643648242236260352 |
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13.209306 |