DocumentCode
3410254
Title
Research on grey modeling means and its application
Author
Ming-Hu, Zhang ; De-hu, Wang ; Shi-jun, Lv ; Hong, Liu ; Yu-xi, Song
Author_Institution
Depts. of Chem. Defense & Grad. Manage., Dalian Naval Acad., Dalian, China
fYear
2009
fDate
10-12 Nov. 2009
Firstpage
425
Lastpage
428
Abstract
Grey theory was applied in constructing the model of the estimating nuclear explosion yield, to compensate the practical value of the existing nuclear explosion yield detecting methods and improve the accuracy of the yield estimate value. The methods of state estimation, bad data detection and identification were applied in grey system modeling to get some more reasonable results compared with the conventional estimation methods of the nuclear explosion yield. The proposed methods can be used as data preparation techniques to detect bad data. The modeling accuracy of grey systems is greatly improved by such methods. Based on the grey theory and the processing of plenty nuclear explosion test data available from home and abroad, the result indicated that the new optimal estimation method using the grey theory and bad data detection and identification to estimate the nuclear explosion yield is feasible. Compared with the existing estimation model, the new estimation method can reduce error range, advance precision, offset the deficiencies of the existing means detecting the nuclear explosion yield, and enlarge the practical application value.
Keywords
estimation theory; grey systems; nuclear explosions; state estimation; advance precision; bad data detection; data identification; data preparation techniques; error range; estimating nuclear explosion yield; grey modeling means; grey system modeling; grey theory; modeling accuracy; nuclear explosion test data; nuclear explosion yield detecting methods; optimal estimation method; state estimation; yield estimate value; Data processing; Explosions; Helium; Information analysis; Intelligent systems; Modeling; Sociology; State estimation; Testing; Yield estimation; bad data identification technique; data preparation; grey modeling means; grey system theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4914-9
Electronic_ISBN
978-1-4244-4916-3
Type
conf
DOI
10.1109/GSIS.2009.5408279
Filename
5408279
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