Estimation of the basins of attraction of recurrent type analog neural networks
M. Kemal Cılız, A. Harova · 2005
The basins of attraction (stability regions) of the stable equilibria of the Hopfield type recurrent neural networks are investigated. For estimating the dimensions of these regions, a constructive method is utilized. It is shown that, with increasing number of iterations, larger estimates of equilibrium point basins are generated. The method is tested with an example, and the estimated basins are shown to be within the exact stability regions.>