GET THE APP

..

Journal of Global Economics

ISSN: 2375-4389

Open Access

Forecasting of Taiwan’s Gross Domestic Product using the Novel Nonlinear Grey Bernoulli Model with ANN Error Correction

Abstract

Chen CI and Hsin PH

Nonlinear Grey Bernoulli Model is proposed to enhance the prediction accuracy. In this study, artificial neural network (ANN) is used to modify the residual error of NGBM. Then, ANN error plus original forecasted value is a new estimated value. The newly proposed method termed NGBM (1,1) with ANN error correction is used to forecast Taiwan’s gross domestic product (GDP). The results show the proposed method is more accurate than NGBM and is proven to be effective in forecasting.

PDF

Share this article

Google Scholar citation report
Citations: 1931

Journal of Global Economics received 1931 citations as per Google Scholar report

Journal of Global Economics peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward