Neural Network Application to Ship Position Estimation
نویسندگان
چکیده
The real time estimation of ship motion is considered in this paper. The problem is viewed as an estimatiod prediction problem for partially unknown systems. A neural estimator based on a dynamic recurrent neural network is considered. The model that describes the ship motion dynamics is presented, and the neural algorithm is tested and evaluated via extensive simulations. The results show that the new algorithm has excellent performance, and a significant saving in computational time is achieved.
منابع مشابه
Neural Network Estimators: Application To Ship Position Estimation
Ship motion prediction fs an important practical problem in design of many Ocean systems i.e. fire controls, air craft landing and take off. As such the problem has received considerable attention In the past and various attempts for designing estimators via the statistical methodology were made in the past. In this paper the design of the ship position estimator via neural networks is consider...
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