• DocumentCode
    389788
  • Title

    Crosstalk prediction in twisted bundles by a neural approach

  • Author

    Cannas, B. ; Fanni, A. ; Maradei, F.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Cagliari Univ., Italy
  • fYear
    2002
  • fDate
    21-24 May 2002
  • Firstpage
    638
  • Lastpage
    641
  • Abstract
    A neural network based procedure is proposed for the crosstalk prediction in twisted bundles. The nonuniform bundle is approximated as a cascade of uniform sections and the neural network is suitably trained with few cross section configurations to learn the behavior of the per unit length parameters. The procedure allows a fast and accurate prediction tool.
  • Keywords
    crosstalk; multiconductor transmission lines; neural nets; transmission line theory; crosstalk; multiconductor transmission line; neural network; twisted bundle; Admittance; Computer networks; Crosstalk; Dielectrics; Electronic mail; Finite element methods; Impedance; Neural networks; Voltage; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility, 2002 3rd International Symposium on
  • Print_ISBN
    0-7803-7277-8
  • Type

    conf

  • DOI
    10.1109/ELMAGC.2002.1177512
  • Filename
    1177512
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=389788