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
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;
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
DOI :
10.1109/ICSMC.1995.537874
