Stability of neural networks with delay

In this thesis; discussed the stability of the equilibrium point of delayed neural networks. In the first chapter; general information about the adjustment of the balance point of neural networks. In the second chapter; The basic concepts used in this study are given and information is given about Lyapunov method. In the third chapter; sufficient conditions for the exponential stability of the equilibrium point of differential equations systems, which are two different models of delayed neural networks, are obtained using Lyapunov's second method. In the last chapter; it was recommended that researchers investigate the stability of the equilibrium point of some equation models.