Generalization in the Hopfield Model

1999/10/29 by Leonid Litinskii, Leonid B. Litinskii, Litinskii, Leonid B.
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Biological sciences #FOS: Physical sciences #Neural Networks Stability and Synchronization #Neural Networks and Applications #Quantitative Biology (q-bio) #Statistical Mechanics and Entropy #cond-mat.dis-nn #q-bio

paper · pdf · doi:10.48550/arxiv.cond-mat/9910500

RevTEX, 11 pages, 2 Postscript figures, the poster presentation on the "Neural Computation in Science and Technology" (October 10-13, Maale ha Chamisha, Israel)

arxiv created 1999/10/29 · openalex publication_date 1999/10/29 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In the Hopfield model the ability of the network to generalization is studied in the case of the network trained by one input image (\it the standard).

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