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Teoreticheskaya i Matematicheskaya Fizika, 2002, Volume 130, Number 1, Pages 159–176
DOI: https://doi.org/10.4213/tmf297 (Mi tmf297) 		 
This article is cited in 3 scientific papers (total in 3 papers)

Hopfield Model with a Dynamic Threshold

L. B. Litinskii

Institute for High Pressure Physics, Russian Academy of Sciences
Full-text PDF (316 kB) Citations (3)
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DOI: https://doi.org/10.4213/tmf297
Abstract: We study the dependence of the result of learning on the dynamic threshold $H$ in the Hopfield neural network model. We obtain rigorous results relating the quality of learning to the threshold.
Received: 08.09.2000
Revised: 08.08.2001
English version:
Theoretical and Mathematical Physics, 2002, Volume 130, Issue 1, Pages 136–151
DOI: https://doi.org/10.1023/A:1013840801300
Bibliographic databases:
Language: Russian
Citation: L. B. Litinskii, “Hopfield Model with a Dynamic Threshold”, TMF, 130:1 (2002), 159–176; Theoret. and Math. Phys., 130:1 (2002), 136–151
Citation in format AMSBIB
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\paper Hopfield Model with a~Dynamic Threshold
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\jour Theoret. and Math. Phys.
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\pages 136--151
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  • https://doi.org/10.4213/tmf297
  • https://www.mathnet.ru/eng/tmf/v130/i1/p159
    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Теоретическая и математическая физика Theoretical and Mathematical Physics
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    Full-text PDF :190
    References:41
    First page:1
     
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