Advertisement
Published in:
2006 | OriginalPaper | Chapter
The Calculation of Parametric NURBS Surface Interval Values Using Neural Networks
Authors : Erkan Ülker, Ahmet Arslan
Published in: Computational Science – ICCS 2006
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Three dimensional coordinate values of parametric NURBS (Non-Uniform Rational B-Splines) surfaces are obtained from two dimensional parameters
u
and
v
. An approach for generating surfaces produces a model by giving a fixed increase to
u
and
v
values. However, the ratio of three dimensional parameters increases and fixed increase of
u
and
v
values is not always the same. This difference of ratio costs unrequired sized breaks. In this study an artificial neural network method for simulation of a NURBS surface is proposed. Free shaped NURBS surfaces and various three dimensional object simulations with different patches can be produced using a method projected as network training with respect to coordinates which are found from interval scaled parameters. Experimental results show that this method in imaging modeled surface can be used as a simulator.