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Lookup NU author(s): Dr Mohammed Abdul Hannan
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© BEIESP.An Artificial Neural Network is a well-known AI technique for replicating human brain and offering suitable solution for any unpredictable complicated problem. Taking the advantage of it, this research will analyse the applicability of Neural Network Controller for ship manoeuvring, such as course changing. To train the controller, optimized teaching data are used to keep the consistency in the data as it could enhance the learning ability of the controller while training. A double layered feed-forward neural network and back propagation method are found suitable for this purpose. Later-on, simulations are done to justify the effectiveness of the trained controller for unknown situations.
Author(s): Ahmed YA, Kamal IZM, Hannan MA
Publication type: Article
Publication status: Published
Journal: International Journal of Innovative Technology and Exploring Engineering
Online publication date: 10/10/2019
Acceptance date: 02/04/2016
Date deposited: 25/07/2020
ISSN (electronic): 2278-3075
Publisher: Blue Eyes Intelligence Engineering and Sciences Publication
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