Absolute stability of asymmetric Hopfield neural network

A sufficient absolute stability condition of the asymmetric Hopfield network in terms of the weight matrix is presented. The approach is to reformulate the neural network equation into a nonlinear multivariable feedback system. The authors apply results from nonlinear control system stability theory to derive a sufficient condition to ensure that an asymmetric Hopfield type network equilibrium point is absolutely stable.<
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