학술논문

Application of RBF neural networks to the prediction of propagation loss over irregular terrain
Document Type
Conference
Source
Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152) Vehicular technology - 2000 Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd. 2:878-884 vol.2 2000
Subject
Transportation
Neural networks
Propagation losses
Diffraction
Equations
Predictive models
Fresnel reflection
Radio transmitters
Costs
Spatial databases
Prediction methods
Language
ISSN
1090-3038
Abstract
Point-to-point propagation models overcome the lack of accuracy of empirical models, at the expense of a large computation cost. Neural networks (NN's) provide a half-way approach to propagation modelling. In this article, it is shown that RBF NN do provide a fast point-to-point prediction method. Results show that gain in computation time is achieved while maintaining a good performance.