Abstract
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.
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Sahu, K.K., Biswal, G.R., Sahu, P.K., Sahu, S.R., Behera, H.S. (2015). A CRO Based FLANN for Forecasting Foreign Exchange Rates Using FLANN. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 1. Smart Innovation, Systems and Technologies, vol 31. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2205-7_60
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DOI: https://doi.org/10.1007/978-81-322-2205-7_60
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