On the design of dynamic associative neural memories

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On the Design of Dynamic Associative Neural Memories.pdf (369.46 KB)

Date

1994

Authors

Savran, M. E.
Morgül, Ö.

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Abstract

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.

Source Title

IEEE Transactions on Neural Networks

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IEEE

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Keywords

Convergence of numerical methods, Mathematical models, Neural networks, System stability, Systems analysis, Vectors, Asymptotic stability, Continuous time neural networks, Discrete time neural networks, Dynamic associative neural memories, Equilibrium points, Associative storage

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http://hdl.handle.net/11693/25993

Published Version (Please cite this version)

http://dx.doi.org/10.1109/72.286920

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Scholarly Publications - Electrical and Electronics Engineering

Language

English

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Article