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Machine Learning: From Theory to Applications pp 241–268Cite as

Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 661))

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Author information

Authors and Affiliations

  1. Siemens Corporate Research, Inc., 755 College Road East, 08540-6668, Princeton, New Jersey

    Thomas Petsche

  2. Department of Electrical Engineering, Princeton University, USA

    Bradley W. Dickinson

Authors
  1. Thomas Petsche
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  2. Bradley W. Dickinson
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Stephen José Hanson Werner Remmele Ronald L. Rivest

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© 1993 Springer-Verlag Berlin Heidelberg

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Petsche, T., Dickinson, B.W. (1993). Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks. In: Hanson, S.J., Remmele, W., Rivest, R.L. (eds) Machine Learning: From Theory to Applications. Lecture Notes in Computer Science, vol 661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56483-7_34

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  • DOI: https://doi.org/10.1007/3-540-56483-7_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56483-6

  • Online ISBN: 978-3-540-47568-2

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