An Optimized Grey Dynamic Model for Forecasting the Output of High-Tech Industry in China
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The grey dynamic model by convolution integral with the first-order derivative of the 1-AGO data and n series related, abbreviated as GDMC(1,n), performs well in modelling and forecasting of a grey system.
To improve the modelling accuracy of GDMC(1,n), n interpolation coefficients (taken as unknown parameters) are introduced into the background values of the n variables.
The parameters optimization is formulated as a combinatorial optimization problem and is solved collectively using the particle swarm optimization algorithm.
The optimized result has been verified by a case study of the economic output of high-tech industry in China.
Comparisons of the obtained modelling results from the optimized GDMC(1,n) model with the traditional one demonstrate that the optimal algorithm is a good alternative for parameters optimization of the GDMC(1,n) model.
The modelling results can assist the government in developing future policies regarding high-tech industry management.
American Psychological Association (APA)
Wang, Zheng-Xin& Pei, Ling-Ling. 2014. An Optimized Grey Dynamic Model for Forecasting the Output of High-Tech Industry in China. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-482924
Modern Language Association (MLA)
Wang, Zheng-Xin& Pei, Ling-Ling. An Optimized Grey Dynamic Model for Forecasting the Output of High-Tech Industry in China. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-482924
American Medical Association (AMA)
Wang, Zheng-Xin& Pei, Ling-Ling. An Optimized Grey Dynamic Model for Forecasting the Output of High-Tech Industry in China. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-482924
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-482924