@article{Konon_Konon_2022,
	author = {Konon, Vladyslav and Konon, Nataliia},
	title = {Application Perspective of Digital Neural Networks in the Context of Marine Technologies},
	journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
	volume = {16},
	number = {4},
	pages = {743-747},
	year = {2022},
	url = {./Article_Application_Perspective_of_Digital_Konon,64,1266.html},
	abstract = {This study is focused on the issue of digital neural networks’ implementation in the context of maritime industry. Various algorithms of such networks in the terms of the marine technologies have been reviewed in the current study in order to evaluate the effectiveness of the methodology and to propose a new concept of an artificial neural network’s application in this way. Fire-detection system simulation based on the thermal imagers’ data input had been developed to assess the efficiency of the concept suggested with a multi-layer perceptron (MLP) algorithm integrated into the designed 3d-model.},
	doi = {10.12716/1001.16.04.16},
	issn = {2083-6473},
	publisher = {Gdynia Maritime University, Faculty of Navigation},
	keywords = {Maritime Industry, Neural Networks, Artificial Neural Network (ANN), Marine Technology, Multi-Layer Perceptron (MLP), Digital Neural Networks, MLP Algorithm, 3D Model}
}