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 :
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