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

2021 ◽  
Vol 238 ◽  
pp. 109727
Author(s):  
Tomasz Cepowski ◽  
Paweł Chorab
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Nonlinear Regression ◽  
Design Stage ◽  
Preliminary Design ◽  
Preliminary Design Stage ◽  
Artificial Neural

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

2021 ◽  
Vol 28 (2) ◽  
pp. 36-45
Author(s):  
Tomasz Cepowski ◽  
Paweł Chorab ◽  
Dorota Łozowicka
Keyword(s):  
Nonlinear Regression ◽  
Random Search ◽  
Design Stage ◽  
Preliminary Design ◽  
Mathematical Form ◽  
Container Ship ◽  
Practical Applications ◽  
Preliminary Design Stage ◽  
Artificial Neural ◽  
And Function

Abstract 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 container number and ship velocity using the aforementioned methods and an up-to-date container ship database. These equations could have practical applications during the preliminary design stage of a container ship. The application of heuristic techniques for the development of a MNLR model by variable and function randomisation leads to the automatic discovery of equation sets. It has been shown that an equation elaborated using this method, based on a random search, is more accurate and has a simpler mathematical form than an equation derived using ANN.

scholarly journals Determination of the Factors Affecting King Abdul Aziz University Published Articles in ISI by Multilayer Perceptron Artificial Neural Network

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 766
Author(s):  
Rashad A. R. Bantan ◽  
Ramadan A. Zeineldin ◽  
Farrukh Jamal ◽  
Christophe Chesneau
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Multilayer Perceptron ◽  
Research Study ◽  
Real Data ◽  
Factors Affecting ◽  
King Abdulaziz University ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Deanship of scientific research established by the King Abdulaziz University provides some research programs for its staff and researchers and encourages them to submit proposals in this regard. Distinct research study (DRS) is one of these programs. It is available all the year and the King Abdulaziz University (KAU) staff can submit more than one proposal at the same time up to three proposals. The rules of the DSR program are simple and easy so it contributes in increasing the international rank of KAU. The authors are offered financial and moral reward after publishing articles from these proposals in Thomson-ISI journals. In this paper, multiplayer perceptron (MLP) artificial neural network (ANN) is employed to determine the factors that have more effect on the number of ISI published articles. The proposed study used real data of the finished projects from 2011 to April 2019.

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