DocumentCode :
1115288
Title :
An Adaptive Associative Memory Principle
Author :
Kohonen, Teuvo
Author_Institution :
Department of Technical Physics, Helsinki University of Technology
Issue :
4
fYear :
1974
fDate :
4/1/1974 12:00:00 AM
Firstpage :
444
Lastpage :
445
Abstract :
It is shown that an analog associative memory with optimal selectivity can be formed in adaptive processes which use learning algorithms related to the gradient method. The information is distributed throughout the memory by a matrix transform.
Keywords :
Adaptive system, analog associative memory, associative recall, correlation matrix memory, distributed memory, learning system, pattern recognition, pseudoinverse matrix.; Associative memory; Circuits; Distributed computing; Gradient methods; Information systems; Learning systems; Pattern recognition; Physics computing; Quantum computing; Adaptive system, analog associative memory, associative recall, correlation matrix memory, distributed memory, learning system, pattern recognition, pseudoinverse matrix.;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/T-C.1974.223960
Filename :
1672553
Link To Document :
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