COMPATIBLE NEURAL NETWORKS

Ivan Daňo

   In the present paper we investigate the dynamic properties of a class of neural networks (which includes the Hopfield model as a special case) by studying the dynamic behavior of neural networks under arbitrary unknown structural perturbations depends essentially on the compatibility or incompatibility of input variables in these networks.

Keywords: neural networks, equilibrium state, time-varying structure

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