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An artificial neural network controller for course changing manoeuvring

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.

Publication metadata

Author(s): Ahmed YA, Kamal IZM, Hannan MA

Publication type: Article

Publication status: Published

Journal: International Journal of Innovative Technology and Exploring Engineering

Year: 2019

Volume: 8

Issue: 12

Pages: 5714-5719

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


DOI: 10.35940/ijitee.L4003.1081219


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