INTERPOLASI DATA BERDIMENSI d>1 DENGAN FUNGSI BASIS RADIAL (RADIAL BASIS FUNCTION)

  • Hery Andi Sitompul Universitas Darma Agung
  • Tambos A. Sianturi

Abstract

Radial Basis Function (RBF) is a method typically used to aproximate a function based on information data. A radial function  is a real valued function whose depends only on the distance the data input and some fixed point  ,called a centre point. Distance between some fixed point/centre and data input is usually Euclidean metric so that . Commonly types of Radial Basis Function using a  to indicate a shape parameter to scale the input data of the radial centre. Since this method has been proven effective and flexsibel so that it has been widely used in engineering and science, so in this paper we will discuss how to use Radial basis Function to interpolate 2 dimension data. From the result of discussion it was found that this method was accurate to aproximate actual data or observation.

Published
May 20, 2020
How to Cite
SITOMPUL, Hery Andi; SIANTURI, Tambos A.. INTERPOLASI DATA BERDIMENSI d>1 DENGAN FUNGSI BASIS RADIAL (RADIAL BASIS FUNCTION). Jurnal Darma Agung, [S.l.], v. 28, n. 1, p. 1 - 7, may 2020. ISSN 2654-3915. Available at: <https://ejurnal.darmaagung.ac.id/index.php/jurnaluda/article/view/454>. Date accessed: 21 nov. 2024. doi: http://dx.doi.org/10.46930/ojsuda.v28i1.454.
Section
Artikel

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