DocumentCode :
3392342
Title :
The non-equal-interval direct new information Verhulst GM(1,1) model with two times fitting and its application to test data processing
Author :
Luo, Youxin ; He, Zheming
Author_Institution :
Coll. of Mech. Eng., Hunan Univ. of Arts & Sci., Changde, China
Volume :
1
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
85
Lastpage :
88
Abstract :
The non-equal-interval direct Verhulst new information GM(1,1) model with two times fitting was built which extended equal interval to non-equal-interval and suited for general data modeling and estimating parameters of direct Verhulst GM(1,1). The new model chooses the nth component of X(0) as the starting conditions of the grey differential model. The new model need not pre-process the primitive data, accumulated generating operation (AGO) and inverse accumulated generating operation (IAGO). It was not only suited for equal interval data modeling, but also for non-equal interval data modeling. As the new information is fully used, the accuracy of fitting is higher. The example shows that the new model is simple and practical. The new model is worth expanding and applying in test data processing or test on-line monitoring.
Keywords :
data analysis; differential equations; grey systems; surface fitting; accumulated generating operation; grey differential model; inverse accumulated generating operation; non-equal-interval direct new information Verhulst GM(1,1) model; test data processing; two times fitting; Art; Data processing; Educational institutions; Electronic equipment testing; Equations; Intelligent transportation systems; Mechanical engineering; Power system modeling; Predictive models; System testing; Data mining; Verhulst direct GM(1,1); new information; non-equal interval; two times fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
Type :
conf
DOI :
10.1109/PEITS.2009.5406958
Filename :
5406958
Link To Document :
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