Efficient long range prediction of exchange rates using Radial Basis Function Neural Network models

In this paper a novel prediction scheme is proposed to efficiently predict the long range exchange rates using Radial Basis Function Neural Network(RBFNN). These models have been employed to predict currency exchange rate between 1 US to Indian Rupees and Japanese Yen. The performance of the RBF mod...

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Bibliographic Details
Published inIEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012) pp. 530 - 535
Main Authors Rout, M., Majhi, B., Mohapatra, U. M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Analytical models
Exchange rates forecasting
Functional link artificial neural network
Multilayer neural network
Predictive models
Radial basis functional Neural network
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Summary:In this paper a novel prediction scheme is proposed to efficiently predict the long range exchange rates using Radial Basis Function Neural Network(RBFNN). These models have been employed to predict currency exchange rate between 1 US to Indian Rupees and Japanese Yen. The performance of the RBF models is evaluated through simulation study and the results have been compared with Multilayer Layer Neural Network (MLANN) and Functional Link Artificial Neural Network (FLANN) based forecasting model. It is noticed that the RBFNN forecasting model outperforms than the FLANN and MLANN models.
ISBN:9781467302135
1467302139