Jacobian Conditioning Analysis for Model Validation

Neural Computation

Volumn 16, Issue 2, 2004, Pages 401-418

  Rivals, Isabelle ^a   Personnaz, Léon ^a  

^a Ecl Sup Phys et de Chim Indust   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; NERVE CELL; NONLINEAR SYSTEM; PHYSIOLOGY; REPRODUCIBILITY; SYNAPTIC TRANSMISSION;

ACTION POTENTIALS; ALGORITHMS; NEURAL NETWORKS (COMPUTER); NEURONS; NONLINEAR DYNAMICS; REPRODUCIBILITY OF RESULTS; SYNAPTIC TRANSMISSION;

EID: 0347029904     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976604322742083     Document Type: Article

References (9)

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3. Dongarra, J., Moler, C. B., Bunch, J. R., & Stewart, G. W. (1979). LINPACK User's Guide. Philadelphia: SIAM.
4. Golub, G. H., & Reinsch, C. (1970). Singular value decomposition and least-squares solutions. Numerische Mathematik, 14, 403-420.
5. Golub, G. H., & Van Loan, C. F. (1983). Matrix compulations. Baltimore, MD: Johns Hopkins University Press.
6. Monari, G., & Dreyfus, G. (2002). Local overfitting control via leverages. Neural Computation, 14, 1481-1506.
7. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. (2002). Numerical recipes in C. Cambridge: Cambridge University Press.
8. Rivals I., & Personnaz, L. (1998). Construction of confidence intervals in neural modeling using a linear Taylor expansion. In Proceedings of the International Workshop on Advanced Black-Box Techniques for Nonlinear Modeling. Leuwen.
9. Rivals I., & Personnaz, L. (2000). Construction of confidence intervals for neural networks based on least squares estimation. Neural Networks, 13, 463-484.