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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1175391
