Consistently Trained Artificial Neural Network for Automatic Ship Berthing Control

Consistently Trained Artificial Neural Network for Automatic Ship Berthing Control

In this paper, consistently trained Artificial Neural Network controller for automatic ship berthing is discussed. Minimum time course changing manoeuvre is utilised to ensure such consistency and a new concept named ‘virtual window’ is introduced. Such consistent teaching data are then used to trai...

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Bibliographic Details
Main Authors: Y.A. Ahmed, Kazuhiko Hasegawa
Format: Article
Language:English
Published: Gdynia Maritime University 2015-09-01
Series:TransNav: International Journal on Marine Navigation and Safety of Sea Transportation
Subjects:
Port Maneuvres
Artificial Neural Network (ANN)
Automatic Ship Berthing Control
Ship Berthing
Automatic Ship Berthing
Monte Carlo Simulation
Autonomous Underwater Vehicle (AUV)
Teaching Data Creation
Online Access:http://www.transnav.eu/files/Consistently Trained Artificial Neural Network for Automatic Ship Berthing Control,600.pdf

Internet

http://www.transnav.eu/files/Consistently Trained Artificial Neural Network for Automatic Ship Berthing Control,600.pdf

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