ePrints

The equivalence of support vector machine and regularization neural networks

Lookup NU author(s): Dr Peter Andras

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.

Abstract

We show in this brief paper the equivalence of the support vector machine and regularization neural networks. We prove both implication sides of the equivalence in a generally applicable way. The novelty lies in the effective construction of the regularization operator corresponding to a given support vector machine formulation. We give also a short introductory description of both neural network approximation frameworks.

Publication metadata

Author(s): Andras P

Publication type: Article

Publication status: Published

Journal: Neural Processing Letters

Year: 2002

Volume: 15

Issue: 2

Pages: 97-104

Print publication date: 01/04/2002

ISSN (print): 1370-4621

ISSN (electronic): 1573-773X

Publisher: Springer

URL: http://dx.doi.org/10.1023/A:1015292818897

DOI: 10.1023/A:1015292818897

Altmetrics

Share