High-Order Perceptrons for Decoding Error-Correcting Codes

Yuen Hsien Tseng, Ja Ling Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, we prove that the single-error correcting (2n-1, 2n-1-n) Hamming code and its extended single-error correcting/double-error detecting (2n, 2n-1-n) code can be decoded by low-complexity single-layer perceptrons which use high-order polynomials as their discriminant functions, and that multiple-error correcting codes can be decoded by two-layer networks with high-order perceptrons in the first layer and linear perceptrons in the second layer.

Original languageEnglish
Title of host publicationProceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages24-29
Number of pages6
ISBN (Electronic)0780305590
DOIs
Publication statusPublished - 1992
Externally publishedYes
Event1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States
Duration: 1992 Jun 71992 Jun 11

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume3

Conference

Conference1992 International Joint Conference on Neural Networks, IJCNN 1992
Country/TerritoryUnited States
CityBaltimore
Period1992/06/071992/06/11

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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