DocumentCode
3591110
Title
Dynamical neural network for solving a class of nonlinear equation systems
Author
Xia, You-shen ; Ye, Da-zhen
Author_Institution
Dept. of Math., Nanjing Univ. of Posts & Telecommun., China
Volume
3
fYear
1996
Firstpage
1824
Abstract
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
Keywords
nonlinear equations; Jacobian matrix; complex structure; differential equations; dynamical neural network; global convergence; neural network; nonlinear equation systems; two-point boundary value problems; Boundary value problems; Computer architecture; Computer networks; Differential equations; Jacobian matrices; Neural network hardware; Neural networks; Newton method; Nonlinear equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.549178
Filename
549178
Link To Document