Using confidence interval of a regularization network

  title={Using confidence interval of a regularization network},
  author={J. M. Gorriz and C. Puntonet and Mois{\'e}s Salmer{\'o}n and Rub{\'e}n Mart{\'i}n-Clemente and Susana Hornillo-Mellado},
  journal={Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521)},
  pages={343-346 Vol.1}
In this paper we establish new bounds on for the actual risk functional of a new on-line parametric machine for time series forecasting based on Vapnik-Chervonenkis (VC) theory. Using the strong connection between support vector machines (SVM) and Regularization theory (RT), we propose a regularization operator in order to obtain a suitable expansion of radial basis functions (RBFs) with the corresponding expressions for updating neural parameters. This operator seeks for the "flattest… CONTINUE READING