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Title
Projecting sale prices of new container ships built in 2005–2015 based on DWT and TEU capacities

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Cepowski, Tomasz1
URI: https://repository.am.szczecin.pl/handle/123456789/2338
2016-12-28
This paper presents mathematical relationships that allow forecast of the estimated sale price of new container ships, based on data concerning vessels built in 2005–2015. The presented approximations allow estimation of the price based on deadweight capacity (DWT) or the number of containers the ship will carry (TEU). The approximations were developed using linear regression and the theory of artificial neural networks. The presented relations have practical relevance in the estimation of container ship sale price needed in transport studies or preliminary parametric design of the ship. It follows from the above that the use of artificial neural networks to predict the price of a container ship brings more accurate solutions than linear regressions.
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Title

Projecting sale prices of new container ships built in 2005–2015 based on DWT and TEU capacities

Pages

171–175

Figures

5

Tables

0

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

10.17402/191

Type

Review article

Journal

48 Scientific Journals of the Maritime University of Szczecin, no. 48 / 2016

Publisher

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Copyright Holder

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Published

2016-12-28

Recieved

2016-04-29

Accepted

2016-11-18

Funding

No data

Keywords

approximation, design, artificial neural networks, container ship, sale price, cost estimation, DWT capacity, number of containers, TEU capacity, linear regression

URI:

https://repository.am.szczecin.pl/handle/123456789/2338

Language

Polish

Authors

Cepowski, Tomasz1

Affiliation

1 Maritime University of Szczecin, Faculty of Navigation 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland, t.cepowski@am.szczecin.pl

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