Automatic Ship Berthing Using Parallel Neural Controller
نویسندگان
چکیده
منابع مشابه
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 train two separate multi‐layered feed forward neural networks for com...
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Ship handling during berthing is considered as one of the most sophisticated tasks that a ship master has to face. The presence of current and wind make it even more complicated to execute, especially when ship approaches to a pier in low speed. To deal with such phenomenon, only experienced human brain decides the necessary action taken depending on situation demand. So automation in berthing ...
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Manoeuvring ship during berthing has always required vast experience, skill and knowledge to provide desired necessary actions. Presence of environmental disturbances as well as decreased manoeuvrability in low speed often makes the whole procedure so sophisticated that even slight mistake may results catastrophic disaster. By knowing the fact that Artificial Neural Network (ANN) has the abilit...
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Use of the ship maneuvering simulator (SMS) is at the core of pilot trainees education and training, so it is desirable to have an evaluation method that can be completed shortly after each berthing training session. There are basically two methods of docking maneuvering that pilot trainees learn: one in which the ship enters from outside the port and is...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2001
ISSN: 1474-6670
DOI: 10.1016/s1474-6670(17)35058-9