• DocumentCode
    481855
  • Title

    Contribution to an XML-based representation of information related to artificial neural networks

  • Author

    Bartz, Rainer

  • Author_Institution
    Cologne Univ. of Appl. Sci., Cologne
  • fYear
    2008
  • fDate
    10-13 Nov. 2008
  • Firstpage
    1863
  • Lastpage
    1868
  • Abstract
    This paper describes a scalable XML-based approach to store data and configurations of artificial neural networks (ANNs) for the purpose of documentation and exchange between scientific and production tools. After a brief summary on ANNs and how their information is currently stored, some use cases for data related to an ANN are discussed. Derived from these use cases, a specification for a flexible data storage solution is described. A subsequent section presents a complementary approach to store configuration information that also may be scaled to specific needs. Both specifications build up the XML language ANNSL (artificial neural network specification language).
  • Keywords
    XML; data handling; neural nets; specification languages; system documentation; XML language; XML-based representation; artificial neural network specification language; documentation; flexible data storage; Artificial neural networks; Data preprocessing; Documentation; Information analysis; Memory; Neurofeedback; Neurons; Production; Specification languages; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-1767-4
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2008.4758239
  • Filename
    4758239