Automatic Ship Berthing Using Artificial Neural Network Controller

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2018, 2018

3330326980 / 9783330326989

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This item is printed on demand - Print on Demand Titel. Neuware -The Artificial Neural Network (ANN) model has been known as one of the most effective theories for automatic ship berthing, as it has learning ability and mimics the actions of the human brain when performing the stages of ship berthing. However, existing ANN controllers can only bring a ship into a berth in a certain port, where the inputs of the ANN are the same as those of the teaching data. This means that those ANN controllers must be retrained when the ship arrives to a new port, which is time-consuming and costly. In this research, by using the head-up coordinate system, which includes the relative bearing and distance from the ship to the berth, a novel ANN controller is proposed to automatically control the ship into the berth in different ports without retraining the ANN structure. Numerical simulations were performed to verify the effectiveness of the proposed controller.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.

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Bibliographic details

Title
Automatic Ship Berthing Using Artificial Neural Network Controller
Author
van Suong Nguyen
Publisher
LAP LAMBERT Academic Publishing Sep 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330326980
ISBN 13
9783330326989
Item weight
167 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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