Numerical control of kohonen neural network for scattered data approximation |
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Authors: | Miklós Hoffmann |
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Institution: | (1) Institute of Mathematics and Computer Science, Károly Eszterházy College, Leányka str. 4, Eger, Hungary |
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Abstract: | Surface reconstruction from scattered data using Kohonen neural network is presented in this paper. The network produces a topologically predefined grid from the unordered data which can be applied as a rough approximation of the input set or as a base surface for further process. The quality and computing time of the approximation can be controlled by numerical parameters. As a further application, ruled surface is produced from a set of unordered lines by the network.
AMS subject classification 68U07, 65D17, 68T20 |
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Keywords: | surface reconstruction Kohonen neural network self-organizing map B-spline surface |
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