Prediction of tropospheric wet delay by an artificial neural network model based on meteorological and GNSS data-Reference-Cited by-同舟云学术

Prediction of tropospheric wet delay by an artificial neural network model based on meteorological and GNSS data

Published:2020-10 Issue:5 Volume:23 Page:967-972
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Selbesoglu Mahmut Oguz

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference36 articles.

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4. Global mapping functions for the atmosphere delay at radio wavelengths;Niell;J. Geophys. Res. Solid Earth,1996

5. M. Oguz Selbesoglu, M. Gurturk, M. Soycan, Accuracy Assessment of the Precise Point Positioning for Different Troposphere Models, EGU General Assembly Conference Abstracts, 2016.

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