Bayesian and neural networks for preliminary ship design

HB Clausen, M Lu¨ tzen, A Friis-Hansen… - Marine technology and …, 2001 - onepetro.org
To ease the determination of the main particulars of a ship at the initial design stage it is
convenient to have tools which, given the type of ship and a few other parameters, output …

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

T Cepowski, P Chorab - Ocean Engineering, 2021 - Elsevier
This article presents preliminary design formulas developed using a database of container
ships built since 2015. Artificial neural networks and multiple nonlinear regressions with …

[PDF][PDF] Practical application of neural networks for prediction of ship's performance factors

현철김, 형길박 - Journal of Ocean Engineering and Technology, 2015 - joet.org
In the initial ship design stage, performance predictions are generally carried out before and
after the hull form design. The former is based on the main dimensions and power …

Prediction of Ship Main Particulars for Harbor Tugboats Using a Bayesian Network Model and Non-Linear Regression

ÖE Karaçay, Ç Karatuğ, T Uyanık, Y Arslanoğlu… - Applied Sciences, 2024 - mdpi.com
Determining the key characteristics of a ship during the concept and preliminary design
phases is a critical and intricate process. In this study, we propose an alternative to …

ニューラルネットワークを利用した船型初期計画(第1 報)

松村竹実, 浦環 - 日本造船学会論文集, 1998 - jlc.jst.go.jp
This paper proposes an artificial neural network system for regressive estimation of wave
making resistance, which is significantly important in preliminary design of high-speed ship …

The utilization of artificial neural networks in marine applications: an overview

G Gougoulidis - Naval Engineers Journal, 2008 - ingentaconnect.com
Traditional calculation methods used in naval architecture and marine engineering rely
mainly on statistical approaches and regression analysis. A relatively new tool in this field is …

Predictions of oil/chemical tanker main design parameters using computational intelligence techniques

S Ekinci, UB Çelebi, M Bal, MF Amasyali… - Applied soft computing, 2011 - Elsevier
Ship design and construction are complicated and expensive processes. In the pre-design
stage, before the construction according to some special rules, determination of the main …

Neural network applications in naval architecture and marine engineering

T Ray, RP Gokarn, OP Sha - Artificial Intelligence in Engineering, 1996 - Elsevier
Neural nets have recently become the focus of much attention, largely because of their wide
range of applicability and the ease with which they can handle complicated problems …

Prediction of main particulars of container ships using artificial intelligence algorithms

D Majnarić, SB Šegota, I Lorencin, Z Car - Ocean engineering, 2022 - Elsevier
The value of the main ship particulars are key values to determine during initial design of a
vessel, but they can be complex to determine, as they depend on a large number of factors …

Prediction of total resistance coefficients using neural networks

I Ortigosa, R López, J García - Journal of maritime research, 2009 - jmr.unican.es
Abstract The Holtrop & Mennen method is widely used at the initial design stage of ships for
estimating the resistance of the ship (Holtrop and Mennen, 1982). The Holtrop & Mennen …