A REVIEW OF AUTOMATIC BERTHING SYSTEMS BASED ON ARTIFICIAL NEURAL NETWORKS FOR MARINE SHIP
Journal Title: International Journal of Civil Engineering and Technology - Year 2019, Vol 10, Issue 3
Abstract
Automatic ship berthing has been known as one of most difficult problems in field of ship control. To complete the berthing automatically and safely, the control systems need to satisfy the complex feature of ship dynamic under low-speed condition of berthing. To meet this demand, artificial neural networks (ANNs) are usually applied as they have ability to imitate and perform all the actions of human brain in ship berthing process. However, when using this theory to design the automatic system for ship berthing, there are still some disadvantages which cause certain difficulties to design the control system for real-world applications of ship. In this research, a review is conducted to analyze advantages and disadvantages of automatic ship berthing systems using ANNs. In addition, some trends are also pointed out to the studies of automatic system of ship berthing in future.
Authors and Affiliations
VAN SUONG NGUYEN
Keywords
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- EP ID EP46690
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