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title:(Bayesian AND and AND neural AND networks AND for AND preliminary AND ship AND design)

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1 Conference paper

Bayesian and neural networks for preliminary ship design

Clausen, Henrik Bisgaard; Lützen, Marie; Friis-Hansen, Andreas; Bjørneboe, Nanna Katrine

Proceedings of the Eighth International Symposium on Practical Design of Ships and Other Floating Structures — 2001

Year: 2001

Language: English

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2 Journal article

Bayesian and neural networks for preliminary ship design

000 ships is acquired and various methods for derivation of empirical relations are employed. A regression analysis is carried out to fit functions to the data. Further, the data are used to learn Bayesian and neural networks to encode the relations between the characteristics. On the basis

Year: 2001

Language: English

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3 Book chapter

Bayesian and Neural Networks For Preliminary Ship Design

Clausen, H.B.; Lützen, M.; Friis-Hansen, A.; Bjørneboe, N.

Practical Design of Ships and Other Floating Structures — 2001, pp. 349-356

. The versatility of neural and Bayesian networks to take account of multiple design requirements is shown. To ease the determination of the main particulars of a ship at the initial design stage, it is convenient to have tools that, given the type of ship and a few other parameters, output estimates

Year: 2001

Language: English

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