Fitting the GPS/Leveling Quasi-Geoid Using Bayesian-Regulation BP Neural Network

Abstract:

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The 2.5′×2.5′resolution local quasi-geoid is calculated using the global gravity field model and GPS/leveling data of region which points spacing is about 10km with the Bayesian- regulation BP neural network in this paper. The inner and outer precision of quasi-geoid are both superior 0.05m.The result indicat that the Bayesian regulation BP neural network could improve the precision of fitting and restrain the over-fitting in fitting. The region quasi-geoid excelled than 0.05m can be computed using the global gravity field model and about 10km baseline GPS/leveling data in smoothness region.

Info:

Periodical:

Edited by:

Xuejun Zhou

Pages:

2903-2906

DOI:

10.4028/www.scientific.net/AMM.90-93.2903

Citation:

L. Song and X. Q. Hu, "Fitting the GPS/Leveling Quasi-Geoid Using Bayesian-Regulation BP Neural Network", Applied Mechanics and Materials, Vols. 90-93, pp. 2903-2906, 2011

Online since:

September 2011

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$35.00

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