Table of Contents Author Guidelines Submit a Manuscript
Shock and Vibration
Volume 2014, Article ID 264728, 10 pages
Research Article

Determination of Optimal Drop Height in Free-Fall Shock Test Using Regression Analysis and Back-Propagation Neural Network

1Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan
2Environmental Engineering and Testing Section, System Development Center, National Chung-Shan Institute of Science and Technology, Tao-Yuan 325, Taiwan

Received 29 January 2014; Revised 25 June 2014; Accepted 29 June 2014; Published 17 August 2014

Academic Editor: Gyuhae Park

Copyright © 2014 Chao-Rong Chen et al. 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.

Linked References

  1. M. C. Jones, “Shock simulat ion and testing in weapons development,” in Proceedings of the 32nd Annual Technical Meeting of the Institute of Environmental Sciences, pp. 17–21, 1986.
  2. Y. Guo and J. Zhang, “Shock absorbing characteristics and vibration transmissibility of honeycomb paperboard,” Shock and Vibration, vol. 11, no. 5-6, pp. 521–531, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. P. F. Cunniff and G. J. O'Hara, “A procedure for generating shock design values,” Journal of Sound and Vibration, vol. 134, no. 1, pp. 155–164, 1989. View at Publisher · View at Google Scholar · View at Scopus
  4. C. T. Morrow and H. I. Sargeant, “Sawtooth shock as a component test,” The Journal of the Acoustical Society of America, vol. 28, no. 5, pp. 959–965, 1956. View at Publisher · View at Google Scholar
  5. R. L. Felker, Empirical Rules for Shock Spectrum, Pulse, and Lead Pellet Interrelationship and Implementation, vol. 30, Autonetics Division, North American Aviation, 1967.
  6. L. Lalanne, Mechanical Vibration & Shock Volume II, pp. 30–50, New York Publishing, 1st edition, 2003.
  7. R. Hecht-Nielsen, “Theory of the backpropagation neural network,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN '89), vol. 1, pp. 593–605, Washington, DC, USA, June 1989. View at Publisher · View at Google Scholar · View at Scopus
  8. P. Venkataraman, Applied Optimization with MATLAB Programming, John Wiley & Sons, New York, NY, USA, 1st edition, 2002.