Developing a Gold Price Predictive Analysis using Grey Wolf Optimizer

Nurul Asyikin, Zainal and Zuriani, Mustaffa (2016) Developing a Gold Price Predictive Analysis using Grey Wolf Optimizer. In: IEEE Student Conference on Research and Development (SCOReD) , 13-14 December 2016 , Kuala Lumpur. . ISBN 978-1-5090-2948-8

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Abstract

As the value of gold cannot be blindly rejected, forecasting the future prices of gold has long been an intriguing topic and is extensively studied by researchers from different fields including economics, statistics, and computer science. The motivation for these studies is naturally to predict the future prices so that gold can be bought and sold at profitable positions and reduce the risk of investment. However, there are still a lot of untackled questions and room for improvements in these forecasting techniques. This is because there are no optimal models for all forecasting problems. Different question needs a different answer; therefore, more experiments and modeling need to be done in order for researcher to enhance their findings. The target of this paper is to present a gold forecasting techniques using one of the optimization algorithm called Grey Wolf Optimizer (GWO).

Item Type:	Conference or Workshop Item (Speech)
Uncontrolled Keywords:	Gold Price Forecasting; Swarm Intelligence; Grey Wolf Optimize
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	15 Nov 2017 02:21
Last Modified:	19 Apr 2018 02:21
URI:	http://umpir.ump.edu.my/id/eprint/18456
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