• DocumentCode
    353223
  • Title

    Category theory applied to neural modeling and graphical representations

  • Author

    Healy, Michael J.

  • Author_Institution
    13544 23rd Place NE, Seattle, WA, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    35
  • Abstract
    Category theory can be applied to mathematically model the semantics of cognitive neural systems. Here, we employ colimits, functors and natural transformations to model the implementation of concept hierarchies in neural networks equipped with multiple sensors
  • Keywords
    category theory; mathematical morphology; neural nets; category theory; cognitive neural networks; colimits; functors; mathematical model; morphism; semantics; Mathematical model; Neural networks; Sensor phenomena and characterization; Signal generators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.861277
  • Filename
    861277
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=353223