Title
Generalized regression neural network prediction model for indoor environment
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. Popescu150.63
P. Constantinou250.63
M. Nafornita350.63
I. Nafornita4224.37