Preliminary ship design using neural networks

Artificial Neural Networks, by their superior pattern-recognition ability are well-suited for intelligent tools for design and development of complex and multi disciplinary structures such as ships. Preliminary design of a Container ship is carried out using feedforward type of Backpropagation (BP)...

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Bibliographic Details
Main Author:	Anis A. Hussian
Other Authors:	Ho, Hiang Kwee
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Manufacturing::Product design
Online Access:	http://hdl.handle.net/10356/5829
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-5829
record_format	dspace
spelling	sg-ntu-dr.10356-58292020-06-01T11:30:05Z Preliminary ship design using neural networks Anis A. Hussian Ho, Hiang Kwee School of Mechanical and Production Engineering Sim, Siang Kok DRNTU::Engineering::Manufacturing::Product design Artificial Neural Networks, by their superior pattern-recognition ability are well-suited for intelligent tools for design and development of complex and multi disciplinary structures such as ships. Preliminary design of a Container ship is carried out using feedforward type of Backpropagation (BP) network. The main focus of the study was to develop a database of successful existing container ships in operation and then to formulate a basic design model. Master of Science (Computer Integrated Manufacturing) 2008-09-17T11:00:07Z 2008-09-17T11:00:07Z 1999 1999 Thesis http://hdl.handle.net/10356/5829 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
topic	DRNTU::Engineering::Manufacturing::Product design
spellingShingle	DRNTU::Engineering::Manufacturing::Product design Anis A. Hussian Preliminary ship design using neural networks
description	Artificial Neural Networks, by their superior pattern-recognition ability are well-suited for intelligent tools for design and development of complex and multi disciplinary structures such as ships. Preliminary design of a Container ship is carried out using feedforward type of Backpropagation (BP) network. The main focus of the study was to develop a database of successful existing container ships in operation and then to formulate a basic design model.
author2	Ho, Hiang Kwee
author_facet	Ho, Hiang Kwee Anis A. Hussian
format	Theses and Dissertations
author	Anis A. Hussian
author_sort	Anis A. Hussian
title	Preliminary ship design using neural networks
title_short	Preliminary ship design using neural networks
title_full	Preliminary ship design using neural networks
title_fullStr	Preliminary ship design using neural networks
title_full_unstemmed	Preliminary ship design using neural networks
title_sort	preliminary ship design using neural networks
publishDate	2008
url	http://hdl.handle.net/10356/5829
_version_	1681056099527032832

Preliminary ship design using neural networks

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