Forecasting exchange rates is an important financial problem that is receiving increasing
attention especially because of its difficulty and practical applications. This paper proposes a …

Forecasting exchange rates is an important financial problem that is receiving increasing
attention especially because of its difficulty and practical applications. Artificial neural …

This study proposes a novel forecasting approach–an adaptive smoothing neural network
(ASNN)–to predict foreign exchange rates. In this new model, adaptive smoothing …

In this study, a triple-stage support vector regression (SVR) based neural network ensemble
forecasting model is proposed for foreign exchange rates forecasting. In the first stage …

In this study, firstly, the authors provide a brief introduction to studies of exchange rate
forecasting in recent years and focus on the neural network methods. Secondly, they study …

Forecasting exchange rates are an important financial problem that is receiving increasing
attention especially because of its difficulty and practical applications. Artificial neural …

Artificial neural networks (ANNs) have been widely applied to finance and economic
forecasting as a powerful modeling technique. By reviewing the related literature, we …

In this paper, Functional link artificial recurrent neural network (FLARNN) ensemble
forecasting model is proposed for foreign exchange rates prediction. In the survey of existing …

Neural networks have successfully been used for exchange rate forecasting. However, due
to a large number of parameters to be estimated empirically, it is not a simple task to select …

In this study, a multistage nonlinear radial basis function (RBF) neural network ensemble
forecasting model is proposed for foreign exchanger rates prediction. In the process of …