DocumentCode
2249944
Title
Characterization of indoor radio propagation environments by cluster analysis as preprocessing for neural network model
Author
Qin Zhou ; Lai, A.K.Y.
Author_Institution
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume
4
fYear
1995
fDate
18-23 June 1995
Firstpage
1960
Abstract
A three-layer feedforward neural network is applied to model indoor radio propagation. The cluster analysis is employed to describe complicated indoor propagation environments. The simulation result has demonstrated that this method is feasible and substantial potential.
Keywords
feature extraction; feedforward neural nets; indoor radio; radiowave propagation; telecommunication channels; telecommunication computing; cluster analysis; indoor radio propagation environments; preprocessing; simulation result; three-layer feedforward neural network; Adaptive systems; Analytical models; Data mining; Feature extraction; Feedforward neural networks; Indoor environments; Indoor radio communication; Multi-layer neural network; Neural networks; Radio propagation;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 1995. AP-S. Digest
Conference_Location
Newport Beach, CA, USA
Print_ISBN
0-7803-2719-5
Type
conf
DOI
10.1109/APS.1995.530976
Filename
530976
Link To Document