NEW MODEL OF NEURAL NETWORKS FOR ERROR CORRECTION.

Dzung ji Lii, Yoshiyasu Takefuji

研究成果: Paper査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ1709-1710
ページ数2
出版ステータスPublished - 1987 12 1
外部発表はい

ASJC Scopus subject areas

  • 工学(全般)

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