Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives-Reference-Cited by-同舟云学术

Support Vector Regression for the simultaneous learning of a multivariate function and its derivatives

Published:2005-12 Issue:1-3 Volume:69 Page:42-61
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lázaro Marcelino,Santamaría Ignacio,Pérez-Cruz Fernando,Artés-Rodríguez Antonio

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference15 articles.

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4. A regularized technique for the simultaneous reconstruction of a function and its derivatives with application to nonlinear transistor modeling;Lázaro;Signal Processing,2003

5. M. Lázaro, I. Santamaría, F. Pérez-Cruz, A. Artés-Rodríguez, SVM for the simultaneous approximation of a function and its derivative, in: Proceedings of the 2003 IEEE International Workshop on Neural Networks for Signal Processing (NNSP), Toulouse, France, 2003.

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