DocumentCode
2617292
Title
Convergence of a batch gradient method for GNNM(1,1)
Author
Li, Zhengxue ; Cheng, Mingsong ; Sun, Yaowei ; Yao, Mingchen
Author_Institution
Sch. of Math. Sci., Dalian Univ. of Technol., Dalian, China
fYear
2011
fDate
27-29 June 2011
Firstpage
2173
Lastpage
2176
Abstract
Gray neural network GNNM(1,1) is a coupled model of gray system and neural network. In this note, the convergence of a batch gradient learning method for GNNM(1,1) is proved, and supporting numerical experiments are provided.
Keywords
convergence; gradient methods; grey systems; learning (artificial intelligence); neural nets; GNNM; Gray neural network; batch gradient learning method; convergence; gray system; Artificial neural networks; Convergence; Differential equations; Gradient methods; Mathematical model; Presses; Training; batch gradient method; convergence; monotonicity; one-dimensional gray neural network model;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5974510
Filename
5974510
Link To Document