Title :
Sensitivity of equilibrium points in continuous-time Hopfield´s network
Author_Institution :
Info-Com Dept., Rome Univ., Italy
fDate :
3/1/1995 12:00:00 AM
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
Keywords :
Hopfield neural nets; content-addressable storage; associative memories; continuous-time Hopfield´s network; equilibrium points sensitivity; minimum scattering of weights; Character recognition; Fuzzy sets; Fuzzy systems; IEEE Computer Society Press; Intelligent networks; Jacobian matrices; Machine intelligence; Neural networks; Pattern analysis; Testing;
Journal_Title :
Neural Networks, IEEE Transactions on
