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Advances in Meteorology
Volume 2017, Article ID 5356324, 9 pages
https://doi.org/10.1155/2017/5356324
Research Article

A New Method for Evaporation Modeling: Dynamic Evolving Neural-Fuzzy Inference System

1School of Natural Sciences and Engineering, Ilia State University, Tbilisi, Georgia
2Department of Civil Engineering, Birjand University of Technology, Birjand, Iran
3Department of Civil and Environmental Engineering, Incheon National University, Incheon 22012, Republic of Korea
4Incheon Disaster Prevention Research Center, Incheon National University, Incheon 22012, Republic of Korea

Correspondence should be addressed to Jong Wan Hu; rk.ca.noehcni@42pgnoj

Received 8 May 2017; Revised 24 July 2017; Accepted 20 August 2017; Published 27 September 2017

Academic Editor: Francesco Viola

Copyright © 2017 Ozgur Kisi 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

Ozgur Kisi, Iman Mansouri, and Jong Wan Hu, “A New Method for Evaporation Modeling: Dynamic Evolving Neural-Fuzzy Inference System,” Advances in Meteorology, vol. 2017, Article ID 5356324, 9 pages, 2017. https://doi.org/10.1155/2017/5356324.