• DocumentCode
    1627126
  • Title

    Comparison of ANN Based Models for Path Loss Prediction in Indoor Environment

  • Author

    Popescu, Ileana ; Nikitopoulos, Dimitris ; Constantinou, Philip ; Nafornita, Ioan

  • Author_Institution
    Mobile Radiocommun. Lab., Nat. Tech. Univ. of Athens, Athens
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This work presents the results of the studies concerning the application of the neural networks to the propagation path loss prediction in indoor environment. The proposed models consist of a multilayer perceptron and a generalized regression neural network trained with measurements. The results of the prediction made by the proposed neural models show a good agreement with the measurements.
  • Keywords
    learning (artificial intelligence); neural nets; radiowave propagation; regression analysis; telecommunication computing; artificial neural networks; generalized regression neural network; indoor radio propagation; multilayer perceptron; path loss prediction; propagation path loss prediction; Artificial neural networks; Electronic mail; Floors; Indoor environments; Multi-layer neural network; Multilayer perceptrons; Neural networks; Predictive models; Propagation losses; Radio transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0062-7
  • Electronic_ISBN
    1-4244-0063-5
  • Type

    conf

  • DOI
    10.1109/VTCF.2006.43
  • Filename
    4109308
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1627126