Backpropagation Applied to Handwritten Zip Code Recognition

Article Properties
  • Language
    English
  • DOI (url)
    10.1162/neco.1989.1.4.541
  • Publication Date
    1989/12/01
  • Journal
    Neural Computation
  • Indian UGC (journal)
  • Refrences
    7
  • Citations
    4,423
  • Y. LeCun AT&T Bell Laboratories, Holmdel, NJ 07733 USA
  • B. Boser AT&T Bell Laboratories, Holmdel, NJ 07733 USA
  • J. S. Denker AT&T Bell Laboratories, Holmdel, NJ 07733 USA
  • D. Henderson AT&T Bell Laboratories, Holmdel, NJ 07733 USA
  • R. E. Howard AT&T Bell Laboratories, Holmdel, NJ 07733 USA
  • W. Hubbard AT&T Bell Laboratories, Holmdel, NJ 07733 USA
  • L. D. Jackel AT&T Bell Laboratories, Holmdel, NJ 07733 USA
Abstract
Cite
LeCun, Y., et al. “Backpropagation Applied to Handwritten Zip Code Recognition”. Neural Computation, vol. 1, no. 4, 1989, pp. 541-5, https://doi.org/10.1162/neco.1989.1.4.541.
LeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., & Jackel, L. D. (1989). Backpropagation Applied to Handwritten Zip Code Recognition. Neural Computation, 1(4), 541-551. https://doi.org/10.1162/neco.1989.1.4.541
LeCun Y, Boser B, Denker JS, Henderson D, Howard RE, Hubbard W, et al. Backpropagation Applied to Handwritten Zip Code Recognition. Neural Computation. 1989;1(4):541-5.
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Title 1987
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex The Journal of Physiology
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
  • Science: Physiology
  • Science: Biology (General)
  • Science: Chemistry: Organic chemistry: Biochemistry
 6,810 1962
10.1007/BF00344251
10.1007/BF00133697
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The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1,497 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Eigenvalues of covariance matrices: Application to neural-network learning and was published in 1991. The most recent citation comes from a 2024 study titled Re-decoupling the classification branch in object detectors for few-class scenes. This article reached its peak citation in 2022, with 830 citations. It has been cited in 1,406 different journals, 20% of which are open access. Among related journals, the IEEE Access cited this research the most, with 222 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year