Associative memory neural networks with concatenated vectors

E. Marom, B. H. Soffer, U. Efron, Y. Owechko

Research output: Contribution to journalArticlepeer-review


The effects of vector concatenation as well as of eliminating the zero diagonal restriction of associative memory neural network matrices are analyzed. Extensive computer simulations seem to indicate that the use of concatenated vectors increases the storage capacity of the association matrices.

Original languageEnglish
Pages (from-to)546-555
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 8 Feb 1989
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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