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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1995. AP-S. Digest
Conference_Location :
Newport Beach, CA, USA
Print_ISBN :
0-7803-2719-5
DOI :
10.1109/APS.1995.530976
