Stability regions of recurrent type neural networks
Kemal Ciliz, A. Harova · Electronics Letters · 1992
The stability regions of the stable equilibria of the Hopfield type recurrent neural networks are investigated. The dimensions of these regions directly determine how much partial information is needed for an imperfect pattern to approach a desired pattern. Therefore estimation of such regions is instrumental in the analysis of analogue recurrent neural networks.