Application Perspective of Digital Neural Networks in the Context of Marine Technologies

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.

• Record URL:
  • http://dx.doi.org/10.12716/1001.16.04.16
• Record URL:
  • http:///Article_Application_Perspective_of_Digital_Konon,64,1266.html
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/20836473
• Supplemental Notes:
  • © 2022 The Authors.
• Authors:
  • Konon, V
  • Konon, N
• Publication Date: 2022-12

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 743-747
• Serial:
  • TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation
  • Volume: 16
  • Issue Number: 4
  • Publisher: Akademia Morska w Gdyni
  • ISSN: 2083-6473
  • EISSN: 2083-6481
  • Serial URL: http://www.transnav.eu/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Fire detection systems; Maritime industry; Mathematical models; Neural networks
• Subject Areas: Data and Information Technology; Marine Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01881151
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 25 2023 9:49AM