go back

Knowledge Extraction from Unstructured Surface Meshes

Lars Gräning, Markus Olhofer, Bernhard Sendhoff, "Knowledge Extraction from Unstructured Surface Meshes", Proceedings of the 8th International Conference on Intelligent Data Egineering and Automated Learning (IDEAL), pp. 497–506, 2007.

Abstract

We propose methods that allow the investigation of local modifications of aerodynamic design data represented by discrete unstructured surface meshes. A displacement measure is suggested to evaluate local differences between the shapes. The displacement measure provides information on the amount and direction of surface modifications. Using the displacement measure in conjunction with statistical methods or data mining techniques provides meaningfull knowledge from the data set for guiding further shape optimization processes.



Download Bibtex file Download PDF

Search