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
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Official URL: http://dx.doi.org/10.1109/ICMSAO.2011.5775457
Abstract
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.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | general publics, gold prices, Malaysia, monetary exchanges, paper currency, price stability, radial basis function neural networks |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Others |
| ID Code: | 29177 |
| Deposited By: | Liza Porijo |
| Deposited On: | 21 Feb 2013 13:14 |
| Last Modified: | 04 Feb 2017 07:39 |
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