Výsledky vyhledávání - "Paweł Chorab"

Akademický článek

The Use of Artificial Neural Networks to Determine the Engine Power and Fuel Consumption of Modern Bulk Carriers, Tankers and Container Ships

Autor: Tomasz Cepowski, Paweł Chorab

Publikováno v: Energies, Vol 14, Iss 16, p 4827 (2021)

The 2007–2008 financial crisis, together with rises in fuel prices and stringent pollution regulation, led to the need to update the methods concerning ship propulsion system design. In this article, a set of artificial neural networks was used to

Externí odkaz: https://doaj.org/article/ea214289850849abbb8a790a6784a6d6

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The concept of the agro cargo supply chain model using inland navigation

Autor: Magdalena Kaup, Dorota Łozowicka, Wojciech Ślączka, Agnieszka Kalbarczyk-Jedynak, Paweł Chorab, Wojciech Ignalewski

Publikováno v: Journal of Civil Engineering and Transport. 4:23-32

Making transport sentences requires taking into account many external and internal factors dependent on changes taking place on the shipping market. The place, time and type of transported cargo, etc., have an impact on the complexity of the transpor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3f000c470282dce922959039d637a5aa
https://doi.org/10.24136/tren.2022.002

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Application of an Artificial Neural Network and Multiple Nonlinear Regression to Estimate Container Ship Length Between Perpendiculars

Autor: Paweł Chorab, D. Łozowicka, Tomasz Cepowski

Publikováno v: Polish Maritime Research, Vol 28, Iss 2, Pp 36-45 (2021)

Container ship length was estimated using artificial neural networks (ANN), as well as a random search based on Multiple Nonlinear Regression (MNLR). Two alternative equations were developed to estimate the length between perpendiculars based on cont

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c6f53ad107de62fd533fc3229c8b699
https://doi.org/10.2478/pomr-2021-0019

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Determination of design formulas for container ships at the preliminary design stage using artificial neural network and multiple nonlinear regression

Autor: Paweł Chorab, Tomasz Cepowski

Publikováno v: Ocean Engineering. 238:109727

This article presents preliminary design formulas developed using a database of container ships built since 2015. Artificial neural networks and multiple nonlinear regressions with randomly searched functions were used to develop these formulas. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d7ac9bc767bd5dd833defff2519ba77
https://doi.org/10.1016/j.oceaneng.2021.109727

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