DocumentCode
1906389
Title
Dynamics and stability of multilayered recurrent neural networks
Author
Jin, Liang ; Nikiforuk, Peter N. ; Gupta, Madan M.
Author_Institution
Coll. of Eng., Saskatchewan Univ., Saskatoon, Sask., Canada
fYear
1993
fDate
1993
Firstpage
1135
Abstract
The dynamic analysis of a multilayered recurrent neural network (MRNN) is addressed. The dynamics of the MRNN are represented by a multi-input and multi-output nonlinear difference equation. The existence and stability of the equilibrium points of the MRNN are discussed, and sufficient conditions of absolute stability are derived
Keywords
dynamics; feedforward neural nets; recurrent neural nets; stability; MIMO nonlinear difference equations; dynamic analysis; equilibrium points; multilayered recurrent neural networks; stability; sufficient conditions; Biological neural networks; Difference equations; Intelligent networks; Intelligent systems; Neural networks; Neurofeedback; Neurons; Recurrent neural networks; Stability; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993., IEEE International Conference on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-0999-5
Type
conf
DOI
10.1109/ICNN.1993.298717
Filename
298717
Link To Document