• DocumentCode
    3240657
  • Title

    Gold price prediction using radial basis function neural network

  • Author

    Hussein, Shamsul Faisal Mohd ; Shah, Mohd Badril Nor ; Jalal, Mohd Razi Abd ; Abdullah, Shahrum Shah

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Malaysia (UTM), Skudai, Malaysia
  • fYear
    2011
  • fDate
    19-21 April 2011
  • Firstpage
    1
  • Lastpage
    11
  • 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.
  • Keywords
    gold; investment; pricing; radial basis function networks; time series; Malaysia; artificial neural networks; gold data time series; gold price prediction; gold trading; investment; monetary exchange; public dinar; radial basis function neural network; Artificial neural networks; Forecasting; Gold; Radial basis function networks; Testing; Time series analysis; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-0003-3
  • Type

    conf

  • DOI
    10.1109/ICMSAO.2011.5775457
  • Filename
    5775457