Neural network implementation in vessel's dead reckoning model
In the article a vessel's dead reckoning model construction on the basis of neural network is considered. The use of the system of two neural networks is proposed. First net transforms power influence from wind and wave to vessel's drift speed. Its output is given to one of inputs of the second network, which has components of vessel's relative speed vector at the fixed coordinate system as output signal. The results of neural network test let us to say about its adequacy to the imitation model.