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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 759834, 11 pages
http://dx.doi.org/10.1155/2014/759834
Research Article

Comparison of Neural Network Error Measures for Simulation of Slender Marine Structures

1DNV Denmark A/S, Tuborg Parkvej 8, 2900 Hellerup, Denmark
2Department of Mechanical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
3Det Norske Veritas, 7496 Trondheim, Norway
4Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kongens Lyngby, Denmark

Received 19 November 2013; Accepted 21 January 2014; Published 2 March 2014

Academic Editor: Ricardo Perera

Copyright © 2014 Niels H. Christiansen 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.

Citations to this Article [2 citations]

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

  • Niels H. Christiansen, Per Erlend Torbergsen Voie, Ole Winther, and Jan Hogsberg, “Optimization of neural networks for time-domain simulation of mooring lines,” Proceedings Of The Institution Of Mechanical Engineers Part M-Journal Of Engineering For The Maritime Environment, vol. 230, no. 2, pp. 434–443, 2016. View at Publisher · View at Google Scholar
  • Benzer, and Benzer, “Evaluation of growth in pike (Esox lucius L., 1758) using traditional methods and artificial neural networks,” Applied Ecology and Environmental Research, vol. 14, no. 2, pp. 543–554, 2016. View at Publisher · View at Google Scholar