On the design of dynamic associative neural memories
IEEE Transactions on Neural Networks
489 - 492
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We consider the design problem for a class of discrete-time and continuous-time neural networks. We obtain a characterization of all connection weights that store a given set of vectors into the network; that is, each given vector becomes an equilibrium point of the network. We also give sufficient conditions that guarantee the asymptotic stability of these equilibrium points.
KeywordsConvergence of numerical methods
Continuous time neural networks
Discrete time neural networks
Dynamic associative neural memories
Published Version (Please cite this version)http://dx.doi.org/10.1109/72.286920
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