DocumentCode
1545740
Title
Stability analysis of analogue neural networks
Author
Su, J. ; Hu, A.Q. ; He, Z.Y.
Author_Institution
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume
33
Issue
6
fYear
1997
fDate
3/13/1997 12:00:00 AM
Firstpage
506
Lastpage
507
Abstract
A high-order analogue Hopfield neural network is incorporated to obtain optimal or near optimal solutions to types of nonlinear programming problems. The nonlinear functional analysis gives two sufficient conditions for the proposed neural network to obtain the Lyapunov stability solutions
Keywords
Hopfield neural nets; Lyapunov methods; analogue processing circuits; circuit stability; functional analysis; nonlinear programming; Hopfield neural network; Lyapunov stability solutions; analogue neural networks; near optimal solutions; nonlinear functional analysis; nonlinear programming problems; stability analysis;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19970341
Filename
585069
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