DocumentCode :
2088426
Title :
Grey group model forecasting in the field of application of the agricultural economy
Author :
Nan, Liu
Author_Institution :
Sch. of Econ. & Manage., Daqing Normal Univ., Daqing, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
391
Lastpage :
394
Abstract :
Agricultural economic forecasts play an important role in the fields of industrial distribution, industrial structure adjustment and so on. At present, there are not any detailed researches on agriculture forecast. For the characteristics of the agricultural economy as well as the shortcomings and deficiencies of existing researches, this paper presents an improved grey model to forecast the agricultural economy and conducts case study. The results show that from the points of accuracy, reasonableness and practicality, the improved grey model is more suitable for prediction of agricultural economy than others.
Keywords :
agriculture; economic forecasting; grey systems; industrial economics; agricultural economic forecast; grey group model forecasting; industrial distribution; industrial structure adjustment; Accuracy; Agriculture; Correlation; Data models; Economics; Mathematical model; Predictive models; agricultural economy; forecast; grey group model; grey model; grey relation grade;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Technology of Agricultural Engineering (ICAE), 2011 International Conference on
Conference_Location :
Zibo
Print_ISBN :
978-1-4244-9574-0
Type :
conf
DOI :
10.1109/ICAE.2011.5943826
Filename :
5943826
Link To Document :
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