A CRO Based FLANN for Forecasting Foreign Exchange Rates Using FLANN
The trend in financial trading shows a significant growth in recent years due to globalization in financial market. Foreign Exchange Rate in these days plays a crucial role in financial marketing. The trend of foreign exchange rate follows nonlinear function which can be solved by artificial neural network. In this paper an adaptive CRO based FLANN forecasting model has been proposed for prediction of foreign exchange rate. This model predicts the dollar exchange rate of currencies in Rupees, Yen and Euro which varies over time. The experimental result shows that CRO based FLANN model trained with LMS performs better and efficient than FLANN model.
KeywordsForecasting Foreign exchange rate FLANN Chemical reaction optimization Back propagation
- 1.Harvey, A.C.: Forecasting structural time series models and the Kalman filter. Cambridge University Press, Cambridge (1989)Google Scholar
- 7.Ye, S.: RMB exchange rate forecast approach based on BP neural network. In: Proceedings of the International Conference on Medical Physics and Biomedical Engineering (ICMPBE), pp. 287–293 (2012)Google Scholar
- 8.Ritanjali, M., Panda, G., Sahoo, G.: Efficient prediction of foreign exchange rate using nonlinear single layer artificial neural model. In: Proceedings of the International Conference on Cybernetics and Intelligent Systems (CIS), pp. 1–5 (2006)Google Scholar
- 10.Patra, J.C., Thanh, N.C., Meher, P.K.: Computationally efficient FLANN-based intelligent stock price prediction system.: Proceedings of the International Joint Conference on Neural Networks (IJCNN), Atlanta, pp. 2431–2438 (2009)Google Scholar