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. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1109/ISCC.2004.1358614 | ISCC |
Keywords | Field | DocType |
indoor radio,mean square error methods,neural nets,regression analysis,telecommunication computing,generalized regression neural network prediction model,indoor environment,propagation path loss prediction | Data mining,Regression,Regression analysis,Simulation,Computer science,Path loss,Artificial neural network,Telecommunication computing,Distributed computing | Conference |
Volume | ISSN | ISBN |
2 | 1530-1346 | 0-7803-8623-X |
Citations | PageRank | References |
5 | 0.63 | 2 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
I. Popescu | 1 | 5 | 0.63 |
P. Constantinou | 2 | 5 | 0.63 |
M. Nafornita | 3 | 5 | 0.63 |
I. Nafornita | 4 | 22 | 4.37 |