Research Output
The equivalence of support vector machine and regularization neural networks
  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.

  • Type:

    Article

  • Date:

    30 April 2002

  • Publication Status:

    Published

  • Publisher

    Springer

  • DOI:

    10.1023/A:1015292818897

  • ISSN:

    1370-4621

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Andras, P. (2002). The equivalence of support vector machine and regularization neural networks. Neural Processing Letters, 15, 97-104. https://doi.org/10.1023/A%3A1015292818897

Authors

Keywords

approximation, equivalent neural networks, regularization, support vector machine

Monthly Views:

Available Documents