A novel site adaptive propagation model

A novel site adaptive propagation model

A site adaptive knowledge guided neural network (KGNN) propagation model, using Hata model as knowledge base (KB) is presented. It adapts to measured data with rapid convergence.

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Bibliographische Detailangaben
Veröffentlicht in:IEEE antennas and wireless propagation letters 2005, Vol.4, p.447-448
Hauptverfasser: Panda, G., Mishra, R.K., Palai, S.S.
Format: Artikel
Sprache:eng
Schlagworte:
Antennas
Antennas and propagation
Artificial neural network (ANN)
Artificial neural networks
Convergence
knowledge base (KB)
Knowledge bases (artificial intelligence)
Mobile antennas
Neural networks
Neurons
Predictive models
propagation loss
Propagation losses
Radio propagation
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Beschreibung
Zusammenfassung:A site adaptive knowledge guided neural network (KGNN) propagation model, using Hata model as knowledge base (KB) is presented. It adapts to measured data with rapid convergence.
ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2005.860213