Applicability of Machine Learning for Vessel Dimension Survey with a Minimum Number of Common Points

Applicability of Machine Learning for Vessel Dimension Survey with a Minimum Number of Common Points

This paper presents the challenges encountered in the dimensional control of ships, platforms, and offshore units. This novel approach utilizes machine learning (MLP—Multilayer Perceptron Neural Network) for three-dimensional (3D) spatial coordinate transformations when only three common points are...

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Bibliographic Details
Main Authors: Ilona Garczyńska, Arkadiusz Tomczak, Grzegorz Stępień, Lech Kasyk, Wojciech Ślączka, Tomasz Kogut
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
three-dimensional coordinates transformations
off-shore surveying
dimensional control
marine geodesy
artificial neural networks
applied engineering
Online Access:https://www.mdpi.com/2076-3417/12/7/3453

Internet

https://www.mdpi.com/2076-3417/12/7/3453

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