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 Foreign exchange rate forecasting using Levenberg-Marquardt learning algorithm Subject The topic of the resource Exchange rate; Forecasting error; Mean absolute error; Network topology and levenberg - Marquardt learning algorithm Description An account of the resource Background/Objectives: Foreign currency Exchange (FOREX) plays a vital role for currency trading in the international market. Accurate prediction of foreign currency exchange rate is a challenging task. The paper investigates the FOREX prediction using feed forward neural network. Methods/Statistical analysis: This paper employs artificial neural network to forecast foreign currency exchange rate in India during 2010-2015.The exchange rates considered between Indian Rupee and four major currencies Euro, Japanese Yen, Pound Sterling and US Dollar. The network developed consists of an input layer, hidden layer and output layer. The neural network was trained with Levenberg-Marquardt (LM) learning algorithm. Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Forecasting Error (FE) are used as indicators for the performance of the networks. Findings: Simulation results are presented to show the performance of the proposed system. The paper also aims to suggest about network topology that must be chosen in order to fit time series kind of complicated data to a neural network model. The proposed technique gives the evidence that there is possibility of extracting information hidden in the foreign exchange rate and predicting into the future. Applications/Improvements: Finally, this paper presents the best network topology for FOREX prediction by comparing the effectiveness of various hidden layer performance algorithm using MATLAB neural network software as a tool. Creator An entity primarily responsible for making the resource Chandar S.K.; Sumathi M.; Sivanandam S.N. Source A related resource from which the described resource is derived Indian Journal of Science and Technology, Vol-9, No. 8 Publisher An entity responsible for making the resource available Indian Society for Education and Environment 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/10.17485/ijst/2016/v9i8/87904" target="_blank" rel="noreferrer noopener">https://doi.org/10.17485/ijst/2016/v9i8/87904</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962040427&amp;doi=10.17485%2Fijst%2F2016%2Fv9i8%2F87904&amp;partnerID=40&amp;md5=7f867347a5f03a1a11617aedf10b53ae" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962040427&amp;doi=10.17485%2fijst%2f2016%2fv9i8%2f87904&amp;partnerID=40&amp;md5=7f867347a5f03a1a11617aedf10b53ae</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 9746846 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, Karnataka, 560029, India; Sumathi M., Sri Meenakshi Government College for Arts for Women (Autonomous), Madurai, Tamil Nadu, 625002, India; Sivanandam S.N., Karpagam College of Engineering, Coimbatore, Tamil Nadu, 641032, India