DocumentCode
445915
Title
Decorrelating parametrical neural network
Author
Kryzhanovsky, Boris V. ; Kryzhanovsky, Vladimir M. ; Fonarev, Anatoly B.
Author_Institution
Inst. of Opt. Neural Technol., Russian Acad. of Sci., Moscow, Russia
Volume
2
fYear
2005
fDate
31 July-4 Aug. 2005
Firstpage
1023
Abstract
We developed a new network architecture, allowing us to increase the recognizing characteristics of the Hopfield model substantively. In addition it is effective when recognizing correlated patterns. It is shown that the storage capacity of the network increases exponentially with increase of the free parameter of the problem. The boundaries restricting the increase of the storage capacity are defined.
Keywords
Hopfield neural nets; pattern recognition; Hopfield model; correlated patterns recognition; parametrical neural network; storage capacity; Associative memory; Character recognition; Decorrelation; Estimation theory; Neural networks; Neurons; Optical computing; Optical distortion; Pattern recognition; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN
0-7803-9048-2
Type
conf
DOI
10.1109/IJCNN.2005.1555993
Filename
1555993
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