Stability analysis of a discrete Hopfield neural network with delay

This letter investigates convergence theorems of a DHNN with delay. We present one generalized updating rule for serial mode. The condition for convergence of a DHNN without delay can be relaxed from a symmetric matrix to a quasi-symmetric matrix. One application is presented to demonstrate the higher convergence speed of our algorithm.