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}
}
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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