A multi-winner associative memory

Jiongtao Huang, Masafumi Hagiwara

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


We propose a new associative memory named Multi-Winner Associative Memory (MWAM) and study its bidirectional association properties in this paper. The proposed MWAM has two processes for pattern pairs storage: storage process and recall process. For the storage process, the proposed MWAM can represent a half of pattern pair in the distributed representation layer and can store the correspondence of pattern and its representation using the upward weights. In addition, the MWAM can store the correspondence of the distributed representation and the other half of pattern pair in the downward weights. For the recall process, the MWAM can recall information bidirectionally: a half of the stored pattern pair can be recalled by receiving the other half in the input-output layer for any stored pattern pairs.

Original languageEnglish
Pages (from-to)1117-1125
Number of pages9
JournalIEICE Transactions on Information and Systems
Issue number7
Publication statusPublished - 1999


  • Associative memory
  • B A At
  • Distributed representation
  • Error correction learning
  • Multi-winner

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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