Comparison of ANN based models for path loss prediction in indoor environment

Popescu, I; Nikitopoulos, D; Constantinou, P; Nafornita, I

dc.contributor.author	Popescu, I	en
dc.contributor.author	Nikitopoulos, D	en
dc.contributor.author	Constantinou, P	en
dc.contributor.author	Nafornita, I	en
dc.date.accessioned	2014-03-01T02:43:58Z
dc.date.available	2014-03-01T02:43:58Z
dc.date.issued	2006	en
dc.identifier.issn	15502252	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31586
dc.subject	Artificial neural networks	en
dc.subject	Indoor channel characterization	en
dc.subject	Path loss models	en
dc.subject	Propagation prediction	en
dc.subject	Wireless communications	en
dc.subject.other	Mathematical models	en
dc.subject.other	Measurement theory	en
dc.subject.other	Regression analysis	en
dc.subject.other	Indoor channel characterization	en
dc.subject.other	Path loss models	en
dc.subject.other	Propagation prediction	en
dc.subject.other	Wireless communications	en
dc.subject.other	Neural networks	en
dc.title	Comparison of ANN based models for path loss prediction in indoor environment	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/VTCF.2006.43	en
heal.identifier.secondary	http://dx.doi.org/10.1109/VTCF.2006.43	en
heal.identifier.secondary	4109308	en
heal.publicationDate	2006	en
heal.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. © 2006 IEEE.	en
heal.journalName	IEEE Vehicular Technology Conference	en
dc.identifier.doi	10.1109/VTCF.2006.43	en
dc.identifier.spage	154	en
dc.identifier.epage	158	en