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The Scientific World Journal
Volume 2015 (2015), Article ID 742138, 13 pages
http://dx.doi.org/10.1155/2015/742138
Research Article

Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS

1University of Belgrade, Faculty of Agriculture, Nemanjina 6, Zemun, 11000 Belgrade, Serbia
2Electric Power Industry of Serbia, Vojvode Stepe 412, 11000 Belgrade, Serbia
3The Institute of Forestry of Montenegro, Novaka Miloseva 10/II, 81000 Podgorica, Montenegro
4Institute of Soil Science Belgrade, Teodora Drajzera 7, 11000 Belgrade, Serbia
5Military Academy, Generala Pavla Jurisica Sturma 33, 11000 Belgrade, Serbia

Received 12 May 2015; Revised 29 September 2015; Accepted 11 October 2015

Academic Editor: Ahmed El-Shafie

Copyright © 2015 Nevenka Djurovic 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 [3 citations]

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  • Gurmanik Kaur, Ajat Shatru Arora, and Vijender Kumar Jain, “Comparative Analysis of Hybrid Models for Prediction of BP Reactivity to Crossed Legs,” Journal of Healthcare Engineering, vol. 2017, pp. 1–13, 2017. View at Publisher · View at Google Scholar
  • Ümit Gökkuş, Mehmet Sinan Yıldırım, and Metin Mutlu Aydin, “Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports,” Discrete Dynamics in Nature and Society, vol. 2017, pp. 1–15, 2017. View at Publisher · View at Google Scholar