DocumentCode
301387
Title
Solving nonlinear equation systems by neural networks
Author
Luo, Dianying ; Han, Zhengzhi
Author_Institution
Dept. of Foreign Trade English, Sichuan Int Studies Univ., China
Volume
1
fYear
1995
fDate
22-25 Oct 1995
Firstpage
858
Abstract
This paper presents a method to solve nonlinear equation systems by using a Hopfield neural network. The problem of solving equation systems is transformed to a kind of quadratic optimization. A new type of Hopfield neural network is proposed via a Chua-Lin network that is used to solve this quadratic optimal problem. To avoid getting local minimal value, a further discussion is also given
Keywords
Hopfield neural nets; nonlinear equations; optimisation; Chua-Lin network; Hopfield neural network; nonlinear equation systems; quadratic optimal problem; quadratic optimization; Capacitors; Chemical engineering; Circuit theory; Hopfield neural networks; Lyapunov method; Neural networks; Nonlinear equations; Stability analysis; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-2559-1
Type
conf
DOI
10.1109/ICSMC.1995.537874
Filename
537874
Link To Document