Title :
Forecasting Taiwan´s gross domestic product by the topological Nonlinear Grey Bernoulli Model
Author :
Chun-I Chen ; Pei-Han Hsin
Author_Institution :
Dept. of Ind. Eng. & Manage., I- Shou Univ., Kaohsiung, Taiwan
Abstract :
This study demonstrates that Nonlinear Grey Bernoulli Model (NGBM) is more accurate than Grey Model GM (1, 1). Moreover, we forecast 2010 and 2011 GDP for Taiwan using topological NGBM model and the results show Taiwan isn´t yet on the road to prosperity. The results may be useful to government in the development of his future economic policies.
Keywords :
economic indicators; forecasting theory; government policies; grey systems; macroeconomics; nonlinear systems; GDP; Taiwanese gross domestic product forecasting; economic policies; government; topological NGBM model; topological nonlinear grey Bernoulli model; Differential equations; Economic indicators; Equations; Forecasting; Government; Mathematical model; Predictive models; grey forecasting; gross domestic product; nonlinear grey Bernoulli model;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022434
