Generalized Regression Neural Network prediction model for indoor environment

Popescu, I; Constantinou, P; Nafornita, M; Nafornita, L

dc.contributor.author	Popescu, I	en
dc.contributor.author	Constantinou, P	en
dc.contributor.author	Nafornita, M	en
dc.contributor.author	Nafornita, L	en
dc.date.accessioned	2014-03-01T02:42:47Z
dc.date.available	2014-03-01T02:42:47Z
dc.date.issued	2004	en
dc.identifier.issn	15301346	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31079
dc.subject	General Regression Neural Network	en
dc.subject	Indoor Environment	en
dc.subject	Path Loss	en
dc.subject	Prediction Model	en
dc.subject	Neural Network	en
dc.subject.other	Approximation theory	en
dc.subject.other	Functions	en
dc.subject.other	Local area networks	en
dc.subject.other	Mathematical models	en
dc.subject.other	Matrix algebra	en
dc.subject.other	Regression analysis	en
dc.subject.other	Wireless telecommunication systems	en
dc.subject.other	Empirical models	en
dc.subject.other	Generalization	en
dc.subject.other	Indoor radio propagation	en
dc.subject.other	Neural networks model	en
dc.subject.other	Neural networks	en
dc.title	Generalized Regression Neural Network prediction model for indoor environment	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISCC.2004.1358614	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISCC.2004.1358614	en
heal.publicationDate	2004	en
heal.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 results of the prediction made by the proposed model showed a good agreement with the measurements.	en
heal.journalName	Proceedings - International Symposium on Computers and Communications	en
dc.identifier.doi	10.1109/ISCC.2004.1358614	en
dc.identifier.volume	2	en
dc.identifier.spage	657	en
dc.identifier.epage	661	en