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Title
Ship steering support with the use of evolutionary neural networks

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Łącki, Mirosław1
URI: https://repository.am.szczecin.pl/handle/123456789/128
2008-06-10 2008
This paper describes a concept of evolutionary neural networks application in decision process support during vessel manoeuvring in a restricted area. Selected algorithms, genetic operations, methods of coding and selection, and structures of evolutionary neural networks are considered in the paper
  1. KENNETH O.S., RISTO M.: Real-Time Neuroevolution in the NERO Video Game. Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games, Piscataway, 2005.,
  2. TOURETZKY D., MOZER M., HASSELMO M.: Neural Information Processing Systems. MIT Press, 1996.,
  3. KENNETH O.S., RISTO M.: Efficient Evolution of Neural Network Topologies. Proceedings of the 2002 Congress on Evolutionary Computation, Piscataway, 2002.,
  4. WRIGHT A. H.: Genetic algorithms for real parameter optimization. Foundations of Genetic Algorithms, San Francisco, 1991, 205–218.,

Title

Ship steering support with the use of evolutionary neural networks

Pages

34‐37

Figures

9

Tables

0

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

Type

Review article

Journal

14 Scientific Journals of the Maritime University of Szczecin, no. 14 / 2008

Publisher

Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie

Copyright Holder

Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie

Published

2008-06-10

Recieved

2008-04-11

Accepted

2008-05-06

Funding

No data

Keywords

ship steering, machine learning, artificial intelligence algorithms, evolutionary neural networks

URI:

https://repository.am.szczecin.pl/handle/123456789/128

Language

English

Authors

Łącki, Mirosław1

Affiliation

1 Akademia Morska w Gdyni, Katedra Nawigacji 81-225 Gdynia, ul. Morska 81–87 F, tel. 058 69 01 574, lacki@am.gdynia.pl

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