Estimating the seven transformational parameters between two geodetic datums using the steepest descent algorithm of machine learning

Estimating the seven transformational parameters between two geodetic datums using the steepest descent algorithm of machine learning

This study evaluates the steepest descent algorithm as a tool for root mean square (RMS) error optimization in geodetic reference systems to improve the integrity of transformation. With an initial RMS error estimate of 0.01830m, the negative gradient direction was applied through the steepest optim...

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Bibliographic Details
Main Authors: Ikechukwu Kalu, Christopher E. Ndehedehe, Onuwa Okwuashi, Aniekan E. Eyoh
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Applied Computing and Geosciences
Subjects:
Steepest descent
Geodesy
Coordinate transformation
Minna datum
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197422000088

Internet

http://www.sciencedirect.com/science/article/pii/S2590197422000088

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