GNSS positioning accuracy improvement based on surface meteorological parameters using artificial neural networks.
Agab Bakheet MohammednourAhmet Turan ÖzdemirPublished in: Int. J. Commun. Syst. (2020)
Keyphrases
- using artificial neural networks
- high accuracy
- artificial neural networks
- optimal parameters
- computational cost
- error rate
- error reduction
- classification accuracy
- three dimensional
- window size
- prediction accuracy
- measured data
- input parameters
- parameter values
- surface roughness
- computational complexity
- root mean square error
- american sign language
- point cloud
- parameter estimation
- d objects