Ulker, ErkanArslan, Ahmet2020-03-262020-03-2620063-540-34381-40302-9743https://hdl.handle.net/20.500.12395/207136th International Conference on Computational Science (ICCS 2006) -- MAY 28-31, 2006 -- Reading, ENGLANDThree dimensional coordinate values of parametric NURBS (NonUniform 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 unrequited 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.eninfo:eu-repo/semantics/closedAccessConference Object3992247254Q3WOS:000238389400033N/A