NEW MODEL OF NEURAL NETWORKS FOR ERROR CORRECTION.

Dzung ji Lii, Yoshiyasu Takefuji

Research output: Contribution to conferencePaper

Abstract

A simple example of (7,4) codes for one-bit error correction is shown. However the proposed neural model can be expanded to multiple-bit error correction. Generally an (N,K) neural decoder of this type will require 2**k op amps, an N multiplied by 2**k resistor network, 2**k comparators, and an N multiplied by 2**k diode network. This error-correction model is effective in a severe environment such as control or military equipment's.

Original languageEnglish
Pages1709-1710
Number of pages2
Publication statusPublished - 1987 Dec 1
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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