DocumentCode
2096397
Title
Forecasting Model Based on Gray-Exponentially Smoothing and Applicated in Prediction of Safety Accidents
Author
Li Ying-ying ; Ye Yi-cheng ; Huang Jun ; Lv Lei
Author_Institution
Coll. of Resources & Environ. Eng., Wuhan Univ. of Sci. & Technol., Wuhan, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
6
Abstract
The analysis and forecasting of safety accident was important in the field of system security research. According to exponentially smoothing forecasting theory, the grey-exponentially smoothing forecasting model is built based on the grey forecasting of death rate (persons/10000) in safety accidents. This grey-exponentially smoothing forecasting model was applied on death rate (persons/10000) in safety accidents from 2006 to 2007. Through forecasting and analysis, the gray-exponentially smoothing model is proved to have a higher accuracy rate than GM(1,1) forecasting model.
Keywords
accidents; forecasting theory; grey systems; safety; exponentially smoothing forecasting theory; forecasting model; grey exponentially smoothing; grey forecasting; safety accident prediction; system security research; Accidents; Data security; Educational institutions; Fluctuations; Information security; Mineral resources; Predictive models; Safety; Smoothing methods; Technology forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Electronic_ISBN
978-1-4244-4813-5
Type
conf
DOI
10.1109/APPEEC.2010.5448543
Filename
5448543
Link To Document