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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Application Perspective of Digital Neural Networks in the Context of Marine Technologies
1 Odesa National Maritime University, Odessa, Ukraine
Times cited (SCOPUS): 1
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.
KEYWORDS: Maritime Industry, Neural Networks, Artificial Neural Network (ANN), Marine Technology, Multi-Layer Perceptron (MLP), Digital Neural Networks, MLP Algorithm, 3D Model
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Citation note:
Konon V., Konon N.: Application Perspective of Digital Neural Networks in the Context of Marine Technologies. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 16, No. 4, doi:10.12716/1001.16.04.16, pp. 743-747, 2022