@inproceedings{db353e6b935f415c982586595e051438,
title = "Case-based configuration estimation of steel weight in ships according to principal component analysis",
abstract = "The purpose of this study is to provide estimations of steel weight for new ships in the early design stages. Principal Component Analysis (PCA) is applied to estimate the steel weight for the whole ship as well as its segments. The database is based on three-dimensional (3D) computer aided design (CAD) systems. In order to obtain more precise estimation, Multiple Retrieval Case-Based Reasoning (CBR) is used to find the fitting historical data for the individual configuration segments of the target ship. In comparing estimation variability, the maximum error for the whole ship estimation is about 5%; the error of the configuration segments estimation is 3.74%, clearly less than the whole ship estimation; hence, the configuration segments estimation is able to obtain accurate steel weight.",
author = "Chen, {Liang Chun} and Chuang, {Ching Hsiang} and Ko, {I. Hsin} and Ying, {Chih Chiang} and Lin, {Cheng Kuan} and Wu, {Ying Han} and Shaw, {Heiu Jou}",
year = "2013",
month = jan,
day = "1",
language = "English",
isbn = "9781909024182",
series = "RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013",
publisher = "Royal Institution of Naval Architects",
pages = "23--30",
booktitle = "RINA, Royal Institution of Naval Architects - International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013",
address = "United Kingdom",
note = "International Conference on Computer Applications in Shipbuilding 2013, ICCAS 2013 ; Conference date: 24-09-2013 Through 26-09-2013",
}