WiMob'2005), IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2005.
DOI: 10.1109/wimob.2005.1512814
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Cited by 19 publications
(19 citation statements)
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“…In this research, an error correction-based ANN model, based in [11,16], using empirical models, is applied in the prediction of path loss. The ANN is trained to learn the error between measured values and the ones calculated by the propagation models.…”
Section: Hybrid Error Correction-based Modelmentioning
confidence: 99%
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“…In this research, an error correction-based ANN model, based in [11,16], using empirical models, is applied in the prediction of path loss. The ANN is trained to learn the error between measured values and the ones calculated by the propagation models.…”
Section: Hybrid Error Correction-based Modelmentioning
confidence: 99%
“…Thus, the prediction of path loss can be described as the transformation of an input vector containing topographical and morphological information about the environment to the desired output value [11]. Since neural networks can be effectively employed in the solving of nonlinear function approximation problems, they are fit for path loss prediction.…”
Section: Introductionmentioning
confidence: 99%
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