• DocumentCode
    769365
  • Title

    Large Artificial Nerve Net (LANNET)

  • Author

    Guinn, David F.

  • Author_Institution
    Melpar, Inc., Falls Church, Va.
  • fYear
    1963
  • Firstpage
    234
  • Lastpage
    243
  • Abstract
    This report describes the implementation of a high speed self-organizing system based on the reinforcement principle. The self-organizing binary logical network is used as the primary component in the system. The learning system is a 1024 decision element netwolk with a general purpose program to enable the operator to simulate a large number of problems to study machine learning. The simulation of a maze runner problem and the results of some preliminary machine evaluation are presented. The system was developed for the Aeronautical Systems Division´s Electronic Technology Laboratory to study complex biological problems.
  • Keywords
    Biological system modeling; Cells (biology); Counting circuits; Laboratories; Mathematical model; Probability; Sensor arrays; Signal generators; Switches; System testing;
  • fLanguage
    English
  • Journal_Title
    Military Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0536-1559
  • Type

    jour

  • DOI
    10.1109/TME.1963.4323078
  • Filename
    4323078