Modified MAXNET with fast convergence net

Orly Yadid-Pecht, Moshe Gur

Research output: Contribution to journalConference articlepeer-review


A biologically-inspired modification to MAXNET is proposed. Unlike the original net where the weights are constant, the weights in the new net are dynamically changed. Consequently, the modified net achieves a drastic improvement in convergence rate. A simple hardware implementation for the modified net is presented.

Original languageEnglish
Pages (from-to)111-118
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2 Mar 1994
Externally publishedYes
EventApplications of Artificial Neural Networks V 1994 - Orlando, United States
Duration: 4 Apr 19948 Apr 1994

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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