• DocumentCode
    1696231
  • Title

    Computing with Activities V. experimental proof of the stability of closed self organizing maps (gSOMs) and the potential formulation of neural nets

  • Author

    Reuter, Matthias

  • Author_Institution
    Cutec Inst. GmbH
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the last years the method of the computing of activities (CWA) has found it application in several industrial and medical applications. So we can show that especially predictive control can by handled by this special coding of information on closed self organizing maps (gSOMs). Nevertheless until today the mathematical proof, why CWA can guarantee predictive control and especially can guaranty stability was outstanding. The following paper presents the experimental proof of these premises, if a potential oriented formulation of the neural nets is used. Furthermore we show that the parameters impulse and impact of the nets leads to a better control of SOMs.
  • Keywords
    self-organising feature maps; closed self organizing maps stability; neural impact; neural impulse; neural nets; predictive control; Biomedical equipment; Computer industry; Frequency; Medical services; Multidimensional systems; Neural networks; Neurons; Predictive control; Self organizing feature maps; Stability; Computing with Activities; Neural Impact; Neural Impulse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Congress, 2008. WAC 2008. World
  • Conference_Location
    Hawaii, HI
  • Print_ISBN
    978-1-889335-38-4
  • Electronic_ISBN
    978-1-889335-37-7
  • Type

    conf

  • Filename
    4699032