DocumentCode
1092773
Title
On the design of dynamic associative neural memories
Author
Savran, M. Erkan ; Morgül, Ömer
Author_Institution
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Volume
5
Issue
3
fYear
1994
fDate
5/1/1994 12:00:00 AM
Firstpage
489
Lastpage
492
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
Keywords
content-addressable storage; matrix algebra; neural nets; asymptotic stability; connection matrix; connection weights; continuous time neural networks; design; discrete time neural networks; dynamic associative neural memories; equilibrium point; equilibrium points; sufficient conditions; Associative memory; Asymptotic stability; Computer networks; Concurrent computing; Hopfield neural networks; Neural networks; Neurofeedback; Neurons; Output feedback; Parallel processing;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.286920
Filename
286920
Link To Document