DocumentCode
2191665
Title
On oscillations in a class of nearly symmetric neural networks
Author
Marco, M. Di ; Forti, M. ; Tesi, A.
Author_Institution
Dipt. di Ingegneria dell´´Informazione, Siena Univ., Italy
Volume
3
fYear
2001
fDate
2001
Firstpage
2738
Abstract
This paper provides a structural condition on the nominal symmetric interconnection matrix of a neural network, which implies the existence of stable limit cycles generated via Hopf bifurcations, even for arbitrarily small perturbations of the interconnections
Keywords
bifurcation; circuit stability; eigenvalues and eigenfunctions; limit cycles; matrix algebra; neural nets; Hopf bifurcations; eigenvalues; limit cycles; neural networks; oscillations; perturbations; stability; structural condition; symmetric interconnection matrix; Bifurcation; Differential equations; Eigenvalues and eigenfunctions; Intelligent networks; Limit-cycles; Neural networks; Neurons; Robust stability; Stationary state; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-7061-9
Type
conf
DOI
10.1109/.2001.980686
Filename
980686
Link To Document