Persistence of equilibria under weight variation of feedback continuous-time neural network
Bo Ling, F.M.A. Salam · 1993 IEEE International Symposium on Circuits and Systems · 2002
For binary patterns, the authors consider the variation of equilibria of the Hopfield-type feedback continuous-time neural network due to perturbations. They show that the equilibria of the feedback continuous-time neural network and its perturbed network are very close as long as the variation of weights is relatively small. The variation of the equilibria can be estimated given the upper bound of the variation of weights.>