A New Method for Evaporation Modeling: Dynamic Evolving Neural-Fuzzy Inference System
Joint Authors
Mansouri, Iman
Kisi, Ozgur
Hu, Jong Wan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Evaporation estimation is very essential for planning and development of water resources.
The study investigates the ability of new method, dynamic evolving neural-fuzzy inference system (DENFIS), in modeling monthly pan evaporation.
Monthly maximum and minimum temperatures, solar radiation, wind speed, and relative humidity data obtained from two stations located in Turkey are used as inputs to the models.
The results of DENFIS method were compared with the classical adaptive neural-fuzzy inference system (ANFIS) by using root mean square error (RMSE), mean absolute relative error (MARE), and Nash-Sutcliffe Coefficient (NS) statistics.
Cross validation was applied for better comparison of the models.
The results indicated that DENFIS models increased the accuracy of ANFIS models to some extent.
RMSE, MARE, and NS of the ANFIS model were increased by 11.13, 11.45, and 6.83% for the Antalya station and 20.11, 12.94%, and 8.29% for the Antakya station using DENFIS.
American Psychological Association (APA)
Kisi, Ozgur& Mansouri, Iman& Hu, Jong Wan. 2017. A New Method for Evaporation Modeling: Dynamic Evolving Neural-Fuzzy Inference System. Advances in Meteorology،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1122738
Modern Language Association (MLA)
Kisi, Ozgur…[et al.]. A New Method for Evaporation Modeling: Dynamic Evolving Neural-Fuzzy Inference System. Advances in Meteorology No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1122738
American Medical Association (AMA)
Kisi, Ozgur& Mansouri, Iman& Hu, Jong Wan. A New Method for Evaporation Modeling: Dynamic Evolving Neural-Fuzzy Inference System. Advances in Meteorology. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1122738
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122738