Title :
Efficient Prediction of Foreign Exchange Rate using Nonlinear Single Layer Artificial Neural Model
Author :
Majhi, Ritanjali ; Panda, G. ; Sahoo, G.
Author_Institution :
Coll. of Eng., Bhubaneswar
Abstract :
The present paper proposes an efficient adaptive forecasting model for one month ahead prediction of foreign exchange using single layer artificial neural network. Using real time series of rupees, pounds and yens the dollar exchange rate is predicated in each case. It is demonstrated that the proposed nonlinear model yields excellent prediction in each case
Keywords :
economic forecasting; exchange rates; forecasting theory; neural nets; time series; adaptive forecasting model; dollar exchange rate; financial forecasting; foreign exchange rate; nonlinear single layer artificial neural model; time series; Artificial neural networks; Computer science; Data engineering; Data mining; Educational institutions; Exchange rates; Feature extraction; Multi-layer neural network; Neural networks; Predictive models; Application of ANN to forecasting; Financial forecasting;
Conference_Titel :
Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0023-6
DOI :
10.1109/ICCIS.2006.252296
