Title :
Dynamic properties of cellular neural networks with nonlinear output function
Author_Institution :
Univ. of Min. & Geol., Sofia, Bulgaria
fDate :
5/1/1998 12:00:00 AM
Abstract :
Cellular neural networks are a novel class of information-processing systems which have architecture similar to neural networks. In this short paper, we consider a nonlinear cellular neural network where the nonlinearity in the feedback circuit is allowed to exhibit hysteresis. Stability analysis of the equilibrium points for such a network is made. Hopf-like bifurcations are proved for an example of a two-cell autonomous cellular neural network
Keywords :
bifurcation; cellular neural nets; feedback; hysteresis; neural net architecture; stability; Hopf-like bifurcation; architecture; cellular neural network; dynamic properties; equilibrium point; feedback circuit; hysteresis; information processing system; nonlinear output function; stability analysis; two-cell autonomous CNN; Bifurcation; Cellular neural networks; Cloning; Equations; Feedback circuits; Hysteresis; Linear feedback control systems; Neural networks; Resistors; Stability analysis;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
