Open Access
MATEC Web of Conferences
Volume 44, 2016
2016 International Conference on Electronic, Information and Computer Engineering
Article Number 01004
Number of page(s) 5
Section Computer, Algorithm, Control and Application Engineering
Published online 08 March 2016
  1. C.A. Van Luttervelt, and J. Peng, “Symbiosis of modelling and sensing to improve the accuracy of workpieces in small batch machining operations,” International Journal of Advanced Manufacturing Technology, 1999, vol. 15, no. 10, pp. 699–710. [CrossRef] [Google Scholar]
  2. D.M. Hawkins, and K.D. Zamba, “On Small Shifts in Quality Control,” Quality Engineering, Sep. 2003, vol. 16, no. 1, pp. 143–149. [CrossRef] [Google Scholar]
  3. H.A. Kishawy, “An experimental evaluation of cutting temperatures during high speed machining of hardened D2 tool steel”, Machining Science and Technology, 2002, vol. 6, no. 1, pp. 67–79. [CrossRef] [Google Scholar]
  4. E.S. Chng, S. Chen, and B. Mulgrew, “Gradient radial basis function networks for nonlinear and nonstationary time series prediction,” IEEE Transactions on Neural Networks, vol. 7, no.1, pp. 190–194, 1996. [CrossRef] [Google Scholar]
  5. Y. Becerikli, and Y. Oysal, “Modeling and prediction with a class of time delay dynamic neural network,” Applied Soft Computing Journal, Aug. 2007, vol. 7, no. 4, pp. 1164–1169. [CrossRef] [Google Scholar]
  6. E. Gomez-Ramirez, and K. Najim, E. Ikonen, “Forecasting time series with a new architecture for polynomial artificial neural network,” Applied Soft Computing Journal, Aug. 2007, vol. 7, no. 4, pp. 1209–1216. [CrossRef] [Google Scholar]
  7. V.N. Vapnik, The nature of statistical learning theory. New York: Spring-Verlag, 1999. [Google Scholar]
  8. V.N. Vapnik, “An overview of statistical learning theory,” IEEE Transaction Neural Networks, 1999, vol. 10, no.5, pp. 988–999. [Google Scholar]
  9. J. A. K. Suykens, and J. Vandewalle, “Least squares support vector machine classifiers,” Neural Processing Letters, 1999, vol. 9, no. 3, pp. 293–300. [Google Scholar]
  10. J. A. K. Suykens, J. Vandewalle, “Sparse least squares support vector machine classifiers,” European Symposium on Artificial Neural Networks, 2000, Bruges Belgium, 37–42. [Google Scholar]
  11. J.A.K. Suykens, L. Lukas, and J. Vandewalle, “Sparse approximation using least squares support vector machines,” Proceedings - IEEE International Symposium on Circuits and Systems, Geneva, vol. 2, pp. 757–760, 2000. [Google Scholar]

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