Abstract
In the present study a method is proposed to reduce the error level of these simplified simulators by correcting the results achieved by means of neural network based approximations. The results of simple aerodynamic simulators used within an evolutionary sail design process are used as application example. The neural network correction is carried out in this case by comparing the numerical results with wind tunnel experiments performed on sail models.
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Casás, V.D., Belío, P.P., Peña, F.L., Duro, R.J. (2010). Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models. In: Amouzegar, M. (eds) Advances in Machine Learning and Data Analysis. Lecture Notes in Electrical Engineering, vol 48. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3177-8_9
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DOI: https://doi.org/10.1007/978-90-481-3177-8_9
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