University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Using RBF algorithm for landcover or clutter classification formobile planning

Zhang, Liyang, Soong, Boon-Hee, Ho, Anthony T. S. and Ong, Jin-Teung (2000) Using RBF algorithm for landcover or clutter classification formobile planning In: VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).


Download (258kB)


The authors consider the problem of classifying the service area for the planning of a mobile network. A neural network (NN) algorithm based on the radial basis function (RBF) is proposed to classify land cover using information derived from a geographic information system (GIS). The comparison between the computed results and real data shows that the method is a practical approach with an accuracy of up to 93%.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
Zhang, Liyang
Soong, Boon-Hee
Ho, Anthony T.
Ong, Jin-Teung
Date : 15 May 2000
DOI : 10.1109/VETECS.2000.851500
Additional Information : In 2000 IEEE 51st Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. , Vol. 1, pp. 465-467.© 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This article was published when Anthony T. S. Ho was at Nanyang Technological University, Singapore.
Depositing User : Mr Adam Field
Date Deposited : 27 May 2010 14:45
Last Modified : 16 Jan 2019 16:23

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800