Artificial neural networks for identifying the signals of multivariate EWMA control charts

Francisco Aparisi, Andres Carrion. Artificial neural networks for identifying the signals of multivariate EWMA control charts. In 10th International Conference on Intelligent Systems Design and Applications, ISDA 2010, November 29 - December 1, 2010, Cairo, Egypt. pages 427-431, IEEE, 2010. [doi]

@inproceedings{AparisiC10,
  title = {Artificial neural networks for identifying the signals of multivariate EWMA control charts},
  author = {Francisco Aparisi and Andres Carrion},
  year = {2010},
  doi = {http://dx.doi.org/10.1109/ISDA.2010.5687226},
  researchr = {http://researchr.org/publication/AparisiC10},
  cites = {0},
  citedby = {0},
  pages = {427-431},
  booktitle = {10th International Conference on Intelligent Systems Design and Applications, ISDA 2010, November 29 - December 1, 2010, Cairo, Egypt},
  publisher = {IEEE},
}