Title :
Using RBF algorithm for landcover or clutter classification for mobile planning
Author :
Zhang, Liyang ; Soong, Boon-Hee ; Ho, Anthony Tung-Shuen ; Ong, Jin-Teong
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
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 935
Keywords :
clutter; geographic information systems; land mobile radio; learning (artificial intelligence); radial basis function networks; radio networks; telecommunication computing; telecommunication network planning; vegetation mapping; RBF algorithm; accuracy; clutter classification; computed results; geographic information system; landcover classification; mobile network planning; neural network algorithm; radial basis function; real data; service area classification; training; Buildings; Clutter; Data mining; Fading; Feedforward systems; Geographic Information Systems; Neural networks; Neurons; Propagation losses; Technology planning;
Conference_Titel :
Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5718-3
DOI :
10.1109/VETECS.2000.851500
