Stability analysis of delayed neural networks with slope-bounded activation functions

摘要

AbstractThis paper deals with the global asymptotic stability problem of delayed neural networks with unbounded activation functions and network parameter uncertainties. New stability criteria for global asymptotic stability of the delayed neural networks are derived by employing suitable Lyapunov functionals. These results reported in this paper can be regarded as generalizations of some existing stability results. The effectiveness and usefulness of the obtained results can be verified by comparing our results with the previously published results.