Applications of generalized RBF-NN for path loss prediction

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dc.contributor.author Popescu, I en
dc.contributor.author Kanatas, A en
dc.contributor.author Angelou, E en
dc.contributor.author Nafornita, I en
dc.contributor.author Constantinou, P en
dc.date.accessioned 2014-03-01T02:42:04Z
dc.date.available 2014-03-01T02:42:04Z
dc.date.issued 2002 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30762
dc.subject Channel characterization en
dc.subject Neural networks en
dc.subject Propagation path loss models en
dc.subject.other Channel characterization en
dc.subject.other Error control en
dc.subject.other Hybrid prediction models en
dc.subject.other Mean errors en
dc.subject.other Neural models en
dc.subject.other Path loss en
dc.subject.other Path loss prediction en
dc.subject.other Propagation paths en
dc.subject.other Radial basis function neural networks en
dc.subject.other Root mean square errors en
dc.subject.other Standard deviation en
dc.subject.other Forecasting en
dc.subject.other Mathematical models en
dc.subject.other Radial basis function networks en
dc.subject.other Radio communication en
dc.subject.other Neural networks en
dc.title Applications of generalized RBF-NN for path loss prediction en
heal.type conferenceItem en
heal.identifier.primary 10.1109/PIMRC.2002.1046748 en
heal.identifier.secondary http://dx.doi.org/10.1109/PIMRC.2002.1046748 en
heal.identifier.secondary 1046748 en
heal.publicationDate 2002 en
heal.abstract This paper presents the results of the Generalized Radial Basis Function Neural Networks applications for the prediction of propagation path loss in urban and suburban environment. We have studied two types of neural network based models; the first one is used for path loss prediction while the second one is a hybrid prediction model based on error control. The performances of the neural models are compared to the path loss values measured in the city of Kavala and in Oia village on Santorini Island, Greece, based on the absolute mean error, standard deviation and root mean square error between predicted and measured values. ©2002 IEEE. en
heal.journalName IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC en
dc.identifier.doi 10.1109/PIMRC.2002.1046748 en
dc.identifier.volume 1 en
dc.identifier.spage 484 en
dc.identifier.epage 488 en

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