Comparison of neural network models for path loss prediction

Popescu, I; Nafornita, I; Constantinou, P

dc.contributor.author	Popescu, I	en
dc.contributor.author	Nafornita, I	en
dc.contributor.author	Constantinou, P	en
dc.date.accessioned	2014-03-01T02:43:10Z
dc.date.available	2014-03-01T02:43:10Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31274
dc.subject	Channel characterization	en
dc.subject	Neural networks	en
dc.subject	Propagation path loss models	en
dc.subject.other	Electromagnetic wave propagation	en
dc.subject.other	Error analysis	en
dc.subject.other	Mathematical models	en
dc.subject.other	Motion planning	en
dc.subject.other	Statistical methods	en
dc.subject.other	Channel characterization	en
dc.subject.other	Measured path loss	en
dc.subject.other	Propagation path loss models	en
dc.subject.other	Root mean square error	en
dc.subject.other	Feedforward neural networks	en
dc.title	Comparison of neural network models for path loss prediction	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/WIMOB.2005.1512814	en
heal.identifier.secondary	http://dx.doi.org/10.1109/WIMOB.2005.1512814	en
heal.identifier.secondary	1512814	en
heal.publicationDate	2005	en
heal.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. © 2005 IEEE.	en
heal.journalName	2005 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob'2005	en
dc.identifier.doi	10.1109/WIMOB.2005.1512814	en
dc.identifier.volume	1	en
dc.identifier.spage	44	en
dc.identifier.epage	49	en