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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/7318

Title: Forecasting Foreign Exchange Rates using Neural Network
Authors: Owusu Amoako, Prince Yaw
Diawuo, Nana Kwasi
Issue Date: 2013
Publisher: International Journal of Societal Applications of Computer Science
Citation: International Journal of Societal Applications of Computer Science,Vol 2 Issue 3 March 2013
Abstract: This paper presents the prediction of foreign exchange rate using neural network called “feedforward” neural network with one hidden layer of three neurons as the improved model for the forecasting. Bank-Indicative Opening rates for three years (2008 – 2010) was used in training the algorithm and the prediction made for year 2011. Statistical evaluation of the output from the implementation of the neural network model on the forecast values with the actual of Banks-Indicative Opening U.S.Dollar, Pound Sterling and Euro Rates – Selling, are presented. Some significant works done in the area of neural network were discussed.
Description: Article published in International Journal of Societal Applications of Computer Science, 2013.
URI: http://hdl.handle.net/123456789/7318
ISSN: 2319 – 8443
Appears in Collections:College of Engineering

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