Associative memory neural networks with concatenated vectors and nonzero diagonal terms

Research output: Contribution to journalArticlepeer-review

Abstract

The effects of vector concatenation as well as that of eliminating the zero diagonal restriction of associative memory neural network matrices is analyzed. Extensive computer simulations seem to indicate that the use of concatenated vectors increases the storage capacity of the association matrices, beyond the accepted practical limit of 0.14N, N being the length of the stored vectors.

Original languageEnglish
Pages (from-to)311-318
Number of pages8
JournalNeural Networks
Volume3
Issue number3
DOIs
StatePublished - 1990

Keywords

  • Associative memories
  • Error correction
  • Memory capacity
  • Neural networks
  • Nonzero diagonal matrix
  • Vector concatenation

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