Name
Abstract | ||
|---|---|---|
This work presents the results of the studies concerning the applications of the feedforward neural networks to the prediction of propagation path loss in urban and suburban environment. First, neural network models are designed in order to predict the path loss. Further investigations are made on an error correction model, based on the combination between a theoretical model and a neural network. The performances of the neural models are compared to the measured path loss values from the measurements conducted in the city of Kavala and in Oia village on Santorini Island, Greece, based on the absolute mean square error, standard deviation and root mean square error between predicted and measured values. Also, the neural networks models are compared to each other and to the COST 231-Walfisch-Ikegami. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/WIMOB.2005.1512814 | WiMob'2005), IEEE International Conference |
Keywords | Field | DocType |
error correction,feedforward neural nets,mean square error methods,radiowave propagation,telecommunication computing,Greece,Kavala,Santorini,absolute mean square error,error correction model,feedforward neural networks,path loss prediction,propagation path loss,root mean square error,standard deviation | Feedforward neural network,Error correction model,Computer science,Algorithm,Mean squared error,Error detection and correction,Path loss,Artificial neural network,Statistics,Standard deviation,Telecommunication computing,Distributed computing | Conference |
Volume | ISBN | Citations |
1 | 0-7803-9181-0 | 2 |
PageRank | References | Authors |
0.47 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ileana Popescu | 1 | 8 | 2.81 |
| I. Nafornita | 2 | 22 | 4.37 |
| Philip Constantinou | 3 | 189 | 35.12 |