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Intelligent method of identification of the sea state number: an application of the support vector machine

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Andrés Toro, Bonifacio de and Fernández Blanco, P. and Cruz García, Jesús Manuel de la and Recas Piorno, Joaquín (2002) Intelligent method of identification of the sea state number: an application of the support vector machine. In 6th World Multiconference on Systemics, Cybernetics and Informatics, Vol VI, Proceedings: Industrial Systems and Engineering I. Int Inst Informatics & Systemics, pp. 178-183.



Abstract

In present work Support Vector Machine Theory (SVC) has been applied to the sea state number (SSN) identification problem. The detection of the changes of tile SSN is of vital importance to be able to adapt the controllers who are in charge to maintain the stability of a high-speed ship. This detection must take place quickly, so that the controllers act as soon as possible on tile ailerons of the ship. There is improved this way its stability and tile well being of the passengers, anticipating and avoiding the abrupt movements and the motion sicknesses.


Item Type:Book Section
Uncontrolled Keywords:Statistical Learning-Theory
Subjects:Sciences > Computer science
ID Code:26343
Deposited On:25 Aug 2014 12:46
Last Modified:25 Aug 2014 12:46

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