Abstract
The sensitivity of continuous-time Hopfield neural network is investigated. The relative sensitivity of hyperbolic equilibrium points, with respect to changes in the interconnections, is computed. Then it is shown that the minimum sensitivity of equilibria corresponds to the minimum scattering of weights about their mean value. This permits a selection among the many available synthesis methods for associative memories.
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