Efficient Prediction of Foreign Exchange Rate using Nonlinear Single Layer Artificial Neural Model

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