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The application of structured feedforward neural networks to the modelling of daily series of currency in circulation
Hlaváček, Marek ; Koňák, Michael ; Čada, Josef
This paper introduces a feedforward structured neural network model and discusses its applicability to the forecasting of currency in circulation. The forecasting performance of the new neural network model is compared with an ARIMA model. The results indicate that the performance of the neural network model is better and that both models might be applied at least as supportive tools for liquidity forecasting.
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