NEW MODEL OF NEURAL NETWORKS FOR ERROR CORRECTION.

Dzung ji Lii, Yoshiyasu Takefuji

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

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
Title of host publicationIEEE/Engineering in Medicine and Biology Society Annual Conference
PublisherIEEE
Pages1709-1710
Number of pages2
Publication statusPublished - 1987
Externally publishedYes

Fingerprint

Error correction
Neural networks
Military equipment
Control equipment
Operational amplifiers
Resistors
Diodes

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Lii, D. J., & Takefuji, Y. (1987). NEW MODEL OF NEURAL NETWORKS FOR ERROR CORRECTION. In IEEE/Engineering in Medicine and Biology Society Annual Conference (pp. 1709-1710). IEEE.

NEW MODEL OF NEURAL NETWORKS FOR ERROR CORRECTION. / Lii, Dzung ji; Takefuji, Yoshiyasu.

IEEE/Engineering in Medicine and Biology Society Annual Conference. IEEE, 1987. p. 1709-1710.

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

Lii, DJ & Takefuji, Y 1987, NEW MODEL OF NEURAL NETWORKS FOR ERROR CORRECTION. in IEEE/Engineering in Medicine and Biology Society Annual Conference. IEEE, pp. 1709-1710.
Lii DJ, Takefuji Y. NEW MODEL OF NEURAL NETWORKS FOR ERROR CORRECTION. In IEEE/Engineering in Medicine and Biology Society Annual Conference. IEEE. 1987. p. 1709-1710
Lii, Dzung ji ; Takefuji, Yoshiyasu. / NEW MODEL OF NEURAL NETWORKS FOR ERROR CORRECTION. IEEE/Engineering in Medicine and Biology Society Annual Conference. IEEE, 1987. pp. 1709-1710
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