@article{Mohamed-Seghir_2023,
	author = {Mohamed-Seghir, Mostefa},
	title = {Modern Method Based on Artificial Intelligence for Safe Control in the Marine Environment},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {17},
	number = {2},
	pages = {283-288},
	year = {2023},
	url = {./Article_Modern_Method_Based_on_Artificial_Mohamed-Seghir,66,1298.html},
	abstract = {The article presents an approach to formulating a ship control process model in order to solve the problem of determining a safe ship trajectory in collision situations. Fuzzy process properties are included in the model to bring it closer to reality, as in many situations the navigator makes a subjective decision. A special neural network was used to solve the presented problem. This artificial neural network is characterized by minimum and maximum operations when set. In order to confirm the correctness of the operation of the proposed algorithm, the results of the simulations obtained were presented and an discussion was conducted.},
	doi = {10.12716/1001.17.02.03},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Evolutionary Algorithms, Fuzzy Logic, Collision Avoidance, Safe Ship's Trajectory, Artificial Neural Network (ANN), Dynamic Programming (DP), Artificial Intelligence (AI)}
}