On the design of dynamic associative neural memories

On the design of dynamic associative neural memories

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...

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Veröffentlicht in:IEEE transactions on neural networks 1994-05, Vol.5 (3), p.489-492
Hauptverfasser: Savran, M.E., Morgul, O.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Associative memory
Asymptotic stability
Computer networks
Concurrent computing
Electric, optical and optoelectronic circuits
Electronics
Exact sciences and technology
Hopfield neural networks
Neural networks
Neurofeedback
Neurons
Output feedback
Parallel processing
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Zusammenfassung: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.< >
ISSN:1045-9227
1941-0093
DOI:10.1109/72.286920