Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Forecasting gold prices based on extreme learning machine Subject The topic of the resource Extreme learning machine; Feed forward neural networks; Gold price forecasting Description An account of the resource In recent years, the investors pay major attention to invest in gold market because of huge profits in the future. Gold is the only commodity which maintains its value even in the economic and financial crisis. Also, the gold prices are closely related with other commodities. The future gold price prediction becomes the warning system for the investors due to unforeseen risk in the market. Hence, an accurate gold price forecasting is required to foresee the business trends. This paper concentrates on forecasting the future gold prices from four commodities like historical data's of gold prices, silver prices, Crude oil prices, Standard and Poor's 500 stock index (S &amp; P500) index and foreign exchange rate. The period used for the study is from 1st January 2000 to 31st April 2014. In this paper, a learning algorithm for single hidden layered Feed forward neural networks called Extreme Learning Machine (ELM) is used which has good learning ability. Also, this study compares the five models namely Feed forward networks without feedback, Feed forward back propagation networks, Radial basis function, ELMAN networks and ELM learning model. The results prove that the ELM learning performs better than the other methods. 2006-2016 by CCC Publications. Creator An entity primarily responsible for making the resource Chandar S.K.; Sumathi M.; Sivanadam S.N. Source A related resource from which the described resource is derived International Journal of Computers, Communications and Control, Vol-11, No. 3, pp. 372-380. Publisher An entity responsible for making the resource available Agora University Date A point or period of time associated with an event in the lifecycle of the resource 2016-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.15837/ijccc.2016.3.2009" target="_blank" rel="noreferrer noopener">https://doi.org/10.15837/ijccc.2016.3.2009</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962439513&amp;doi=10.15837%2Fijccc.2016.3.2009&amp;partnerID=40&amp;md5=fa9701d9ed74c52a195f9c916daddd6e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962439513&amp;doi=10.15837%2fijccc.2016.3.2009&amp;partnerID=40&amp;md5=fa9701d9ed74c52a195f9c916daddd6e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 18419836 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chandar S.K., Christ University, Bangalore, India; Sumathi M., Sri Meenakshi Government College For Arts For Women (Autonomous), Madurai, India; Sivanadam S.N., Karpagam College Of Engineering, Coimbatore, India