Application of neural networks to model catamaran type powerboats
نویسندگان
چکیده
Powerboats in operation represent a system consisting of a number of complex components such as: surface propellers, aerodynamics and hydrodynamics; which interact with each other and with the wind and water surface conditions. By measuring the behaviour of the powerboat it is possible to create a mathematical model using system identification methods. A neural network model has been generated which can be used to predict how the powerboat will perform under different driver inputs for the purpose of optimizing performance.
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تاریخ انتشار 2008