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The use of neural networks for transforming coordinates

Gil J., Mrówczyńska M.

Reports on Geodesy

2006

z. 2/77

145-152

The article presents problems connected to the use of neural networks for transforming coordinates from the system "1965" into the system "2000". in order to solve the problem one-directional multi-layer networks have been used, learnt with known optimisation methods: the Levenberg-Marquardt method of conjugate gradients and a quasi -Newton algorithm. In adition, in order to solve the problem of transforming coordinates the Resilient Backpropagation algorithm (RPROP) has been used. The article also presents possibilities of using radial basis networks learnt with the hybrid method with the use of the Gauss function as the base function.

The Naref initiative to densify the ITRF in North America

Craymer M., Piraszewski M.

Reports on Geodesy

2001

z. 3/58

55-66

Since the beginning of 2000, the Geodetic Survey Division (GSD) of Natural Resources Canada (NRCan) has been playing a leading role in the North American Reference Frame (NAREF) Working Group of the IAG Commision X Subcommission for North America in support of the International GPS Service (IGS) initiative to densify the International Terrestrial Reference Frame (ITRC) in North America. Following the IGS distributed processing approach, NRCan has been computing three weekly regional solutions for Canada following IGS guidelines. Two such solutions are now being generated by GSD on regular basis for redundancy and quality control, one for a 27 station network using GIPSY-OASIS II software and the other for a 65 station network using the BERNESE GPS Software.