Improvement of bidirectional associative memories by using correlation significance

D. L. Lee, W. J. Wang

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

A correlation significance technique is introduced, which uses the significances between the training associations and between the neurons of the different fields, such that the storage capacity of Kosko bidirectional associative memories (BAMs) is improved. Based on the gradient descent method, an error function is constructed such that the maximal number of stored associations which are successfully recalled can be obtained. Finally computer simulations demonstrate that the proposed method has much better storage capacity than the existing methods.

Original languageEnglish
Pages (from-to)688-690
Number of pages3
JournalElectronics Letters
Volume29
Issue number8
DOIs
StatePublished - 15 Apr 1993

Keywords

  • Associative memories
  • Neural networks

Fingerprint

Dive into the research topics of 'Improvement of bidirectional associative memories by using correlation significance'. Together they form a unique fingerprint.

Cite this