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International Journal of Antennas and Propagation
Volume 2012, Article ID 351487, 7 pages
Research Article

Influence of Training Set Selection in Artificial Neural Network-Based Propagation Path Loss Predictions

1Department of Electronics and Telecommunications, University of the Basque Country, Alameda Urquijo s/n, 48013 Bilbao, Spain
2Department of Signal Theory and Communications, University of Vigo, Campus Universitario s/n, 36200 Vigo, Spain

Received 26 July 2012; Accepted 19 October 2012

Academic Editor: César Briso Rodríguez

Copyright © 2012 Ignacio Fernández Anitzine 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 [4 citations]

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  • Monica Vallejo, Joaquin Recas Piorno, Jose Luis Ayala Rodrigo, Monica Vallejo, Joaquin Recas, and Jose L. Ayala, “A Link Quality Estimator for Power-Efficient Communication over On-Body Channels,” Proceedings - 2014 International Conference on Embedded and Ubiquitous Computing, EUC 2014, pp. 250–257, 2014. View at Publisher · View at Google Scholar
  • Muzaffer Kanaan, and Memduh Suveren, “A new propagation modeling technique for ultra-wideband implant body area networks based on a neural network architecture,” Neural Computing and Applications, 2016. View at Publisher · View at Google Scholar
  • Clement Nyirenda, Kenneth Gideon, and Clement Temaneh-Nyah, “Echo state network-based radio signal strength prediction for wireless communication in Northern Namibia,” IET Communications, vol. 11, no. 12, pp. 1920–1926, 2017. View at Publisher · View at Google Scholar
  • Segun I. Popoola, Sanjay Misra, and Aderemi A. Atayero, “Outdoor Path Loss Predictions Based on Extreme Learning Machine,” Wireless Personal Communications, 2017. View at Publisher · View at Google Scholar