Abstract
In this paper two popular time series prediction methods - the Auto Regression Moving Average (ARMA) and the multilayer perceptron (MLP) - are compared while forecasting seven real world economical time series. It is shown that the prediction accuracy of both methods is poor in ill-structured problems. In the well-structured cases, when prediction accuracy is high, the MLP predicts better providing lower mean prediction error.
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