Proceedings of the 2016 International Conference on Computer and Information Technology Applications

Optimal Model of Forecasting the Per Capita Disposable Income of Urban Residents

Authors
Zhongwen Chen
Corresponding Author
Zhongwen Chen
Available Online May 2016.
DOI
10.2991/iccita-16.2016.45How to use a DOI?
Keywords
The per capita disposable income; Optimization forecasting model; Power function transformation; Improved GM(1,1) model
Abstract

The per capita disposable income of urban residents reflects the people's living standards and spending power. In this paper, we study the problem of forecasting the per capita disposable income of urban residents, and present an optimization forecasting model based on the grey system theory, i.e., an improved GM(1,1) model with the power function transformation. Moreover, an application example of forecasting the per capita disposable income is provided to highlight the implementation, practicality, and effectiveness of the presented model.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Computer and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
10.2991/iccita-16.2016.45
ISSN
2352-538X
DOI
10.2991/iccita-16.2016.45How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhongwen Chen
PY  - 2016/05
DA  - 2016/05
TI  - Optimal Model of Forecasting the Per Capita Disposable Income of Urban Residents
BT  - Proceedings of the 2016 International Conference on Computer and Information Technology Applications
PB  - Atlantis Press
SP  - 239
EP  - 242
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccita-16.2016.45
DO  - 10.2991/iccita-16.2016.45
ID  - Chen2016/05
ER  -