This paper outlines a procedure that can be used to identify the parameters in the coupled heave-pitch equations using the measured heave and pitch responses of a ship in a random sea. Equations for the mean values of heave and pitch motions are obtained using the concept of random decrement. In this paper we show how measured records of heave and pitch motions in random seas can be used to identify the parameters in the mean values equations of these motions. The technique described in the paper uses neural networks to identify these parameters. Preliminary results show that this approach is promising. Studies for the refinement and validation of the approach are currently underway at Memorial University.

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