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This paper proposes an efficient time series fore- casting model for exchange rates. Previous literature reveals that Functional Link Artificial Neural Network (FLANN) is very effective in financial time series forecasting involving less computational load and fast forecasting capability. Autoregressive Integrated Moving Average (ARIMA) models are well known for their remarkable forecasting accuracy...
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