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Advances in Fuzzy Systems
Volume 2012 (2012), Article ID 951247, 9 pages
http://dx.doi.org/10.1155/2012/951247
Research Article

Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction

1Department of Mechanical Engineering, Yuan Ze University, 32003 Chungli, Taiwan
2Department of Orthopaedic Surgery, National Taiwan University Hospital, Taipei, Taiwan
3Center for Dynamical Biomarkers and Translational Medicine, National Central University, Taoyuan City, Taiwan
4School of Engineering and Design, Brunel University, London, UK

Received 25 December 2011; Accepted 23 January 2012

Academic Editor: Hak-Keung Lam

Copyright © 2012 Yu-Tzu Chang 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.

How to Cite this Article

Yu-Tzu Chang, Jinn Lin, Jiann-Shing Shieh, and Maysam F. Abbod, “Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction,” Advances in Fuzzy Systems, vol. 2012, Article ID 951247, 9 pages, 2012. doi:10.1155/2012/951247