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Discrete Dynamics in Nature and Society
Volume 2015, Article ID 892740, 7 pages
http://dx.doi.org/10.1155/2015/892740
Research Article

Change Point Determination for an Attribute Process Using an Artificial Neural Network-Based Approach

Department of Statistics and Information Science, Fu Jen Catholic University, New Taipei City 24205, Taiwan

Received 28 January 2015; Revised 6 May 2015; Accepted 6 May 2015

Academic Editor: Carlo Piccardi

Copyright © 2015 Yuehjen E. Shao and Ke-Shan Lin. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • 卉卉 沈, “A Method of Detecting Multiple Change Point for Normal Distribution Process,” Advances in Applied Mathematics, vol. 05, no. 03, pp. 321–326, 2016. View at Publisher · View at Google Scholar
  • Huihui Shen, “The Detection and Empirical Study of Variance Change Points on Housing Prices <br/>—Taking Wuhan City Commodity Prices as an Example,” Journal of Mathematical Finance, vol. 06, no. 05, pp. 699–710, 2016. View at Publisher · View at Google Scholar