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Knowing the wave influence on the yaw motion of a ship, a more complex heading control law for autopilot system can be implemented. The time series prediction of the yaw angle's measured values using neural networks has been investigated in this paper. Several neural networks are analyzed using different training data sets and noise conditions. The predictor is working well even if both the training and testing sets are affected by measurement noise.