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# The Equivalence of Support Vector Machine and Regularization Neural Networks

@article{Andrs2002TheEO, title={The Equivalence of Support Vector Machine and Regularization Neural Networks}, author={P{\'e}ter Andr{\'a}s}, journal={Neural Processing Letters}, year={2002}, volume={15}, pages={97-104} }

- Published 2002 in Neural Processing Letters
DOI:10.1023/A:1015292818897

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.

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