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Dynamical neural network for solving a class of nonlinear equation systems

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2 Author(s)
You-shen Xia ; Dept. of Math., Nanjing Univ. of Posts & Telecommun., China ; Da-zhen Ye

This paper presents a dynamical neural network for solving a class of nonlinear equation systems, and shows that it globally converges to an exact solution. In hardware implementations, the network architecture does not contain the complex structure which implements the Jacobian matrix. Finally, an application of the neural network approach to two-point boundary value problems is given

Published in:

Neural Networks, 1996., IEEE International Conference on  (Volume:3 )

Date of Conference:

3-6 Jun 1996