Forecasting of financial data has been a field of research since the efficiency of prediction is essential for future investments. Forecasting exchange rates is not a simple task because it is influenced by many factors and linear models are not able to capture nonlinear relationships in the data. Therefore Artificial Neural Networks (ANN) have been used in financial forecasting problems since it is capable of handling complex data. The aim of this study is to consider predictive accuracy of ANNs with SBP (Standard Back propagation) and normalized back propagation using the historical EUR/TRY exchange rates. The data is obtained from CBRT (Central Bank of the Republic of Turkey) and TSI (Turkish Statistical Institute) over the per...
Neural networks have been shown to be a promising tool for forecasting financial time series. Severa...
Financial forecasting is a field of great interest in academia and economy. The subfield of exchange...
This is the published version. Copyright De GruyterThis paper presents the prediction of foreign cur...
This article contributes to the neural network literature by demonstrating how potent and useful the...
This study predicts the exchange rates for three currency pairs (USD-INR, GBP-INR, and EUR-INR). We ...
Most exchange rates are volatile and mainly rely on the principle of supply and demand. Millions of ...
Investors consider foreign exchange as being among the most significant financial markets. Many disc...
In this paper, an experimental research based on a neural network forecasting methodology is discuss...
In this paper, the exchange rate forecasting performance of neural network models are evaluated agai...
This thesis investigates the forecasting ability of the artificial neural network (ANN) models on fi...
Artificial Neural Networks rectified which are inspired by human brain, in other words, simulate bio...
This paper focuses on the treatment of intelligent systems and their application in the financial ar...
This study concerns the problem of forecasting the exchange rate between the official currency of EU...
Neural networks have been shown to be a promising tool for forecasting financial time series. Severa...
Financial forecasting is a field of great interest in academia and economy. The subfield of exchange...
Neural networks have been shown to be a promising tool for forecasting financial time series. Severa...
Financial forecasting is a field of great interest in academia and economy. The subfield of exchange...
This is the published version. Copyright De GruyterThis paper presents the prediction of foreign cur...
This article contributes to the neural network literature by demonstrating how potent and useful the...
This study predicts the exchange rates for three currency pairs (USD-INR, GBP-INR, and EUR-INR). We ...
Most exchange rates are volatile and mainly rely on the principle of supply and demand. Millions of ...
Investors consider foreign exchange as being among the most significant financial markets. Many disc...
In this paper, an experimental research based on a neural network forecasting methodology is discuss...
In this paper, the exchange rate forecasting performance of neural network models are evaluated agai...
This thesis investigates the forecasting ability of the artificial neural network (ANN) models on fi...
Artificial Neural Networks rectified which are inspired by human brain, in other words, simulate bio...
This paper focuses on the treatment of intelligent systems and their application in the financial ar...
This study concerns the problem of forecasting the exchange rate between the official currency of EU...
Neural networks have been shown to be a promising tool for forecasting financial time series. Severa...
Financial forecasting is a field of great interest in academia and economy. The subfield of exchange...
Neural networks have been shown to be a promising tool for forecasting financial time series. Severa...
Financial forecasting is a field of great interest in academia and economy. The subfield of exchange...
This is the published version. Copyright De GruyterThis paper presents the prediction of foreign cur...