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2003 | 104 | 5 | 479-486
Article title

On the Thermodynamics of the Hopfield Neural Network with External Field

Content
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EN
Abstracts
EN
In the paper thermodynamic properties of an artificial neural network are analyzed in a way analogous to spin glasses theory. Synaptic connections are calculated numerically according to the Hebb rule and their distribution is obtained for different characteristics of stored patterns. The phase diagrams and magnetization are established in dependence on the temperature of the network and the external field (threshold). It was showed that changing control parameters typical of artificial neural network (i.e. number of stored patterns and pattern bias level) one obtains the results similar to the Sherrington-Kirkpatrick model of spin glass.
Keywords
EN
Publisher

Year
Volume
104
Issue
5
Pages
479-486
Physical description
Dates
published
2003-11
received
2003-04-17
Contributors
author
  • Faculty of Physics, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
author
  • Faculty of Physics, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
  • Central Institute of Labor Protection, National Research Institute, Czerniakowska 16, 00-701 Warsaw, Poland
author
  • Faculty of Physics, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland
References
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Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv104n503kz
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