Acquisition of design parameters for geometry based on neural networks.
A method devised to understand design parameters from geometry for ship shape optimization!
In parametric modeling using CAESES, shape control is performed using the created model and the functions that serve as design parameters. However, there may be situations where the values of the design parameters are unknown, and there may be cases where one wishes to obtain design parameters from an already created model. The case introduced here is part of a project undertaken by a graduate student at Hamburg University of Technology. The method devised to determine design parameters from geometry for ship shape optimization is expected to be applicable in many other applications as well. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*
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