• DocumentCode
    1281023
  • Title

    Hybrid neural network/ray tracing model for radiowave penetration into buildings

  • Author

    Lee, J.W.H. ; Lai, A.K.Y.

  • Author_Institution
    Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
  • Volume
    33
  • Issue
    19
  • fYear
    1997
  • fDate
    9/11/1997 12:00:00 AM
  • Firstpage
    1609
  • Lastpage
    1610
  • Abstract
    A feedforward multilayer neural network is used to predict the signal strength of building penetration. A ray tracing technique is employed to improve the prediction performance by introducing various separation distances and illustration angles into the modelling setup. The median prediction error is 1.69 dB and the standard deviation is 1.15 dB
  • Keywords
    feedforward neural nets; multilayer perceptrons; prediction theory; radiowave propagation; ray tracing; building penetration; feedforward multilayer neural network; hybrid neural network/ray tracing model; illustration angles; median prediction error; radiowave penetration; separation distances; signal strength; standard deviation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19971077
  • Filename
    629585
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1281023