A cellular network formed of Hopfield networks

A general structure of the cellular neural network is introduced. An analytical method is presented to find the weight matrix for a given set of desired vectors. An energy function is then constructed. Using the energy function, a sufficient stability criterion which can be realized by a redesign of the neuron function is given. Computer simulation shows that the authors' network structure and design approach are valid.<
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