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Mathematical Problems in Engineering
Volume 2013, Article ID 676742, 9 pages
http://dx.doi.org/10.1155/2013/676742
Research Article

Prediction of Currency Volume Issued in Taiwan Using a Hybrid Artificial Neural Network and Multiple Regression Approach

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

Received 12 December 2012; Revised 22 February 2013; Accepted 23 February 2013

Academic Editor: Ker-Wei Yu

Copyright © 2013 Yuehjen E. Shao. 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 [6 citations]

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

  • Yuehjen E. Shao, and Chia-Ding Hou, “Hybrid Artificial Neural Networks Modeling for Faults Identification of a Stochastic Multivariate Process,” Abstract and Applied Analysis, 2013. View at Publisher · View at Google Scholar
  • Yuehjen E. Shao, and Chia-Ding Hou, “Fault Identification in Industrial Processes Using an Integrated Approach of Neural Network and Analysis of Variance,” Mathematical Problems in Engineering, vol. 2013, pp. 1–7, 2013. View at Publisher · View at Google Scholar
  • Hong Zhi Li, Lin Li, Zi Yan Zhong, Yi Han, LiHong Hu, and Ying Hua Lu, “An Accurate and Efficient Method to Predict Y-NO Bond Homolysis Bond Dissociation Energies,” Mathematical Problems in Engineering, vol. 2013, pp. 1–10, 2013. 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
  • William W. Guo, and Heru Xue, “Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models,” Mathematical Problems in Engineering, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar