@article{Lacki_2016,
	author = {Lacki, Miroslaw},
	title = {Intelligent Prediction of Ship Maneuvering},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {10},
	number = {3},
	pages = {511-516},
	year = {2016},
	url = {./Article_Intelligent_Prediction_of_Ship_Lacki,39,674.html},
	abstract = {In this paper the author presents an idea of the intelligent ship maneuvering prediction system with the usage of neuroevolution. This may be also be seen as the ship handling system that simulates a learning process of an autonomous control unit, created with artificial neural network. The control unit observes input signals and calculates the values of required parameters of the vessel maneuvering in confined waters. In neuroevolution such units are treated as individuals in population of artificial neural networks, which through environmental sensing and evolutionary algorithms learn to perform given task efficiently. The main task of the system is to learn continuously and predict the values of a navigational parameters of the vessel after certain amount of time, regarding an influence of its environment. The result of a prediction may occur as a warning to navigator to aware him about incoming threat.},
	doi = {10.12716/1001.10.03.17},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Intelligent Ship, Ship Manoeuvering, Future of Navigation, Intelligent Prediction, Prediction of Ship Maneuvering, Neuroevolution, Navigational Parameters, Autonomous Control Unit}
}