DocumentCode
1944839
Title
Generalized regression neural network prediction model for indoor environment
Author
Popescu, Ileana ; Constantinou, Philip ; Nafornita, Miranda ; Nafornita, Ioan
Author_Institution
Mobile Radiocommunications Laboratory, Nat. Tech. Univ. of Athens, Greece
Volume
2
fYear
2004
fDate
28 June-1 July 2004
Firstpage
657
Abstract
This paper presents the results of our studies regarding the applications of the neural networks to the propagation path loss prediction in indoor environment. The proposed model consists of a generalized regression neural network trained with measurements. The result of the prediction made by the proposed model has shown a good agreement with the measurements.
Keywords
indoor radio; mean square error methods; neural nets; regression analysis; telecommunication computing; generalized regression neural network prediction model; indoor environment; propagation path loss prediction; Buildings; Floors; Function approximation; Indoor environments; Indoor radio communication; Multidimensional systems; Neural networks; Predictive models; Propagation losses; Surface fitting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers and Communications, 2004. Proceedings. ISCC 2004. Ninth International Symposium on
Print_ISBN
0-7803-8623-X
Type
conf
DOI
10.1109/ISCC.2004.1358614
Filename
1358614
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