25th Congress of International Council of the Aeronautical Sciences, 3 - 8 September 2006, Hamburg, Germany
Paper ICAS 2006-P5.4


REAL TIME PREDICTION OF SHIP MOTION FOR THE AID OF HELICOPTER AND AIRCRAFT DEPLOYMENT AND RECOVERY

A. Khan, C. Bil, K. E. Marion
RMIT, Australia

Keywords: Artificial Neural Networks, Helicopters, Missiles, Deployment, Recovery

An artificial neural network for the real time prediction of ship motions is presented. The predictions will allow improvements of safety on board ships by facilitating the deployment and recovery of air vehicles. It is shown that it is able to predict ship motion satisfactorily for up to 7 seconds.


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