Neural Network Based Parameters Whiten Method Study of Gray Differential Equations

Author

Zhong, Luo ; Guo, Cuicui ; Song, Huazhu

Author_Institution

Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan

Volume

1

fYear

2008

fDate

3-4 Aug. 2008

Firstpage

42

Lastpage

46

Abstract

Building a relevant mathematical model for a certain system is a main aim for studies on a system. This paper applies neural network to whiten parameters in gray differential equations. After summarizing the main characters of these parameters, whiten procedures of GNNM (1,1) and GNNM (1,2) are deduced. Then the final gray differential equations can be expressed. An application shows the precision and efficiency difference between traditional method and method explained in this paper. And proves the priorities of this whiten method.

Keywords

differential equations; grey systems; neural nets; GNNM; gray differential equations; neural network; whiten method; Communication system control; Computer network management; Computer networks; Computer science; Differential equations; Mathematical model; Neural networks; Technology management; differential equation; gray; neural network; whiten;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3290-5

Type

conf

DOI

10.1109/CCCM.2008.272

Filename

4609465