Conjunctoids: Statistical learning modules for binary events

Robert J. Jannarone, Kai F. Yu, Yoshiyasu Takefuji

研究成果: Article査読

5 被引用数 (Scopus)

抄録

A general family of fast and efficient neural network learning modules for binary events is introduced. The family subsumes probabilistic as well as functional event associations; subsumes all levels of input/output association; yields truly parallel learning processes; provides for optimal parameter estimation; points toward a workable description of optimal model performance; and yields procedures that are simple and fast enough to be serious candidates for reflecting both neural functioning and real time machine learning. Examples as well as operational details are provided.

本文言語English
ページ(範囲)325-337
ページ数13
ジャーナルNeural Networks
1
4
DOI
出版ステータスPublished - 1988
外部発表はい

ASJC Scopus subject areas

  • 認知神経科学
  • 人工知能

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