DocumentCode
1928138
Title
Associative memories with "killed" neurons: The methods of recovery
Author
Reznik, A.M. ; Sitchov, A.S. ; Dekhtyarenko, O.K. ; Nowicki, D.W.
Author_Institution
Inst. of the Math. Machines & Syst., Ukrainian Nat. Acad. of Sci., Kiev, Ukraine
Volume
4
fYear
2003
fDate
20-24 July 2003
Firstpage
2579
Abstract
We consider re-learning ability of a Hopfield-type network after killing some neurons. Neurons were "killed" by means of ification of corresponding rows and columns of the synaptic matrix. We show that one can restore recognition ability of this network using re-training with the vectors, which were memorized before. The number of vectors needed is equal to the number of deleted neurons. It does not depend on network\´s size and on volume of stored data.
Keywords
content-addressable storage; neural nets; Hopfield-type network; associative memories; neurons; synaptic matrix; Adaptive filters; Associative memory; Convergence; Equations; Hopfield neural networks; Neural networks; Neurons; Stability; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223972
Filename
1223972
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