Asymptotic hyperstability for the Hopfield model of neural networks
Anke Meyer‐Baese · 2002
In this paper we survey and apply the hyperstability analysis to neural networks of Hopfield type. We derive general necessary conditions which have to be satisfied by the network parameters. The nonlinearity is not restricted to a sigmoid function. The hyperstability results include BIBO and Lyapunov stability statements.>