Effectiveness analysis of ship formation air defence based on deep belief network

Journal article

Li, B., Luo, H., Wang, Y. and Chen, D. (2020). Effectiveness analysis of ship formation air defence based on deep belief network. The Journal of Engineering. 2020 (13), pp. 394-398. https://doi.org/10.1049/joe.2019.1201
AuthorsLi, B., Luo, H., Wang, Y. and Chen, D.
Abstract

Aiming at the problem of strong subjectivity and insufficient data utilisation in the traditional ship formation combat effectiveness analysis method, this study proposes a performance analysis fitting model based on deep belief network (DBN), which effectively reconstructs the combat model and improves the accuracy of the effectiveness analysis of the combat system. Firstly, the ship formation air defence effectiveness analysis index system is constructed, and then the structure and training method of the performance analysis fitting model are introduced. Finally, based on the formation of air defence combat, the performance analysis fitting model based on DBN and its comparative experiments are simulated and analysed. Simulation results verify the applicability and effectiveness of the model and method.

Year2020
JournalThe Journal of Engineering
Journal citation2020 (13), pp. 394-398
PublisherInstitution of Engineering and Technology (IET)
ISSN2051-3305
Digital Object Identifier (DOI)https://doi.org/10.1049/joe.2019.1201
Publication dates
Online09 Jul 2020
Publication process dates
Accepted19 Nov 2019
Deposited02 Feb 2021
Publisher's version
License
File Access Level
Open
Licensehttp://creativecommons.org/licenses/by/3.0/
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