Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Based on the Gray GM (1, 1) Prediction Model of Pig disease

Authors
Yanying Ma, Xiuzhen Li, Xue Wang
Corresponding Author
Yanying Ma
Available Online April 2016.
DOI
10.2991/emim-16.2016.322How to use a DOI?
Keywords
Gray prediction model; Disease prediction; GM (1,1) model
Abstract

With the growth of social economy, more and more high to the requirement of animal husbandry.With the brisk development of pig raising production, we have realized that how to improve the effectiveness of pig raising, disease warning and prevention is of great significance. In this research, by applying GM (1,1) model of gray system theory, we try to forecast the pig disease based on the mortality rate of pig disease in a Jilin Provincial village. From the results, we can see the error between predicted values and measured values is very small?? and the fitting effect is excellent, which indicate that the method to predict pig disease is feasible, meanwhile, it will play a great role in health epidemic and disease prevention.

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 6th International Conference on Electronic, Mechanical, Information and Management Society
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
10.2991/emim-16.2016.322
ISSN
2352-538X
DOI
10.2991/emim-16.2016.322How 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  - Yanying Ma
AU  - Xiuzhen Li
AU  - Xue Wang
PY  - 2016/04
DA  - 2016/04
TI  - Based on the Gray GM (1, 1) Prediction Model of Pig disease
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 1594
EP  - 1597
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.322
DO  - 10.2991/emim-16.2016.322
ID  - Ma2016/04
ER  -