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Automatic Ship Berthing Using Artificial Neural Network Controller - Nam Kyun Im,van Suong Nguyen

englanti
2018-09-06
59,27 € 79,02 €

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Toimitus 15-21 arkipäivässä

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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 t ... Täydellinen kuvaus

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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.

Lisätietoja

Kirjoittaja Nam Kyun Im, van Suong Nguyen
Julkaisija LAP LAMBERT Academic Publishing
Julkaisuvuosi 2018
Kannen tyyppi Pehmeäkantinen
EAN 9783330326989
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Arvostelet: Automatic Ship Berthing Using Artificial Neural Network Controller
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59,27 € 79,02 €