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Abstract and Applied Analysis
Volume 2013 (2013), Article ID 386757, 10 pages
http://dx.doi.org/10.1155/2013/386757
Research Article

Hybrid Artificial Neural Networks Modeling for Faults Identification of a Stochastic Multivariate Process

Department of Statistics and Information Science, Fu Jen Catholic University, No. 510, Zhongzheng Road, Xinzhuang, New Taipei City 24205, Taiwan

Received 7 October 2013; Revised 5 November 2013; Accepted 5 November 2013

Academic Editor: Shen Yin

Copyright © 2013 Yuehjen E. Shao and Chia-Ding Hou. 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 [3 citations]

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

  • Yuehjen E. Shao, Chi-Jie Lu, and Chia-Ding Hou, “Hybrid Soft Computing Schemes for the Prediction of Import Demand of Crude Oil in Taiwan,” Mathematical Problems in Engineering, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Yuehjen E. Shao, “Body Fat Percentage Prediction Using Intelligent Hybrid Approaches,” The Scientific World Journal, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Yuehjen E. Shao, “Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches,” Abstract and Applied Analysis, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar