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Solving nonlinear equation systems by neural networks

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2 Author(s)
Dianying Luo ; Dept. of Foreign Trade English, Sichuan Int Studies Univ., China ; Zhengzhi Han

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

Published in:

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on  (Volume:1 )

Date of Conference:

22-25 Oct 1995