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
fDate :
3/13/1997 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19970341
