DocumentCode
3121274
Title
A study on gray neural network modeling
Author
Zhong, Luo ; Yuan, Jing-ling ; Xia, Hong-xia ; Zou, Cheng-ming
Author_Institution
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., China
Volume
4
fYear
2002
fDate
4-5 Nov. 2002
Firstpage
2021
Abstract
In order to resolve complex gray uncertainly problems, the gray neural network modeling (GNNM) method by combining gray system theory with neural network is studied and improved in the paper. Also, a method of GNNM (1, 1) based on the time response model is proposed. With an eye to the multidimensional indefinite problems in which all kinds of genetic relationships and mechanisms exist, GNNM (1, 4) is established on the basis of GNNM (1, 1).
Keywords
differential equations; grey systems; modelling; neural nets; optimisation; GNNM (1,1); GNNM (1,4); Time response model; complex gray uncertainly problems; complex grey uncertainty problems; genes; gray neural network modeling; gray system theory; grey neural network modelling; grey system theory; multidimensional indefinite problems; Computer science; Data mining; Differential equations; Electronic mail; Fault tolerance; Mathematics; Multidimensional systems; Neural networks; Predictive models; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1175391
Filename
1175391
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