Application of support vector machines function regression in fractal interpolation
Zhang Xuegong · Journal of Tsinghua University(Science and Technology) · 2000
Rupture of fractal curves is controled using support vector machine function regression in the later period of fractal interpolation. The method uses Statistical Learning Theory (SLT) which mainly considers the statistic properties of small samples, especially the properties of the learning procedure in such cases. SLT provides a new framework for the general learning problem and a powerful new learning method called support vector machine which can solve small sample learning problems better. The method not only eliminates the rupture of fractal curve in sample calculations, but also has the advantage of fractal interpolation, which can display details.