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Postgraduates' employment confidence index (ECI) forecasting can help the university to predict the future trend of postgraduates' employment. However, the common forecast method based on the grey model (GM) has unsatisfactory performance to a certain extent. In order to forecast postgraduates' ECI efficiently, this paper discusses a novel hybrid forecast model using limited raw samples. Different from previous work, the residual modified GM(1,1) model is combined with the improved neuraldoi:10.1155/2014/465208 fatcat:xqxftt5jpzgwdpvgpjm6d55xqa