In this study, a novel neural network ensemble system, i.e. NNES, is proposed for economic forecasting. This ensemble approach
utilizes the boosting and bagging algorithms to constitute neural network ensemble respectively, which are combined into NNES
with simple average, and a novel forecasting effective measure algorithm to determine the weights used to form the neural
network ensembles. For illustration and testing purposes, the proposed ensemble model is applied for economic forecasting.