Automation of Hull Plates Classification in Ship Design System Using Neural Network Method

Byung Young Moon; Soo Young Kim; Duk Eun Kim; Seung Keon Lee

doi:10.4028/www.scientific.net/KEM.274-276.589

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Automation of Hull Plates Classification in Ship Design System Using Neural Network Method
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 274-276Automation of Hull Plates Classification in Ship...

Automation of Hull Plates Classification in Ship Design System Using Neural Network Method

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Periodical:

Key Engineering Materials (Volumes 274-276)

Pages:

589-594

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.274-276.589

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Online since:

October 2004

Authors:

Byung Young Moon, Soo Young Kim, Duk Eun Kim, Seung Keon Lee

Keywords:

Artificial Intelligence (AI), Hull Plate, Neural Network (NN), Optimization Design, Ship Design

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References

[1] Laurene Fausett; Fundamentals of Neural Networks: architectures, algorithms, and applications (Prentice-Hall, Inc., 1994).

Google Scholar

[2] Valluru B. Rao and Hayagriva V. Rao; C++ Neural Networks and Fuzzy Logic (Management Information Source, Inc., 1993).

Google Scholar

[3] S.M. Hwangbo and H.J. Shin: Journal of Ship and Ocean Technology, Vol.4, No.3(2000), p.1.

Google Scholar

[4] W.D. Kim: Int J Mech. Sci. Vol.28, No.1(1991), p.1.

Google Scholar

[5] Rogers, D. F. and Adams, J. A.:Mathematical Elements for Computer Graphics (McGraw-Hill Publishing Company, international edition 1990).

Google Scholar

[6] Choi, B. K.: Surface Modeling for CAD/CAM (ELSEVIER, Amsterdam-Oxford-New York-Tokyo, 1991).

Google Scholar