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Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: case study of Nasser Lake in Egypt

Salih, Sinan Q., Allawi, Mohammed Falah, Yousif, Ali A., Armanuos, Asaad M., Saggi, Mandeep Kaur, Ali, Mumtaz, Shahid, Shamsuddin, Al-Ansari, Nadhir, Yaseen, Zaher Mundher and Chau, Kwok-Wing 2019, Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: case study of Nasser Lake in Egypt, Engineering Applications of Computational Fluid Mechanics, vol. 13, no. 1, pp. 878-891, doi: 10.1080/19942060.2019.1647879.

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Title Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: case study of Nasser Lake in Egypt
Author(s) Salih, Sinan Q.
Allawi, Mohammed Falah
Yousif, Ali A.
Armanuos, Asaad M.
Saggi, Mandeep Kaur
Ali, MumtazORCID iD for Ali, Mumtaz orcid.org/0000-0002-6975-5159
Shahid, Shamsuddin
Al-Ansari, Nadhir
Yaseen, Zaher Mundher
Chau, Kwok-Wing
Journal name Engineering Applications of Computational Fluid Mechanics
Volume number 13
Issue number 1
Start page 878
End page 891
Total pages 14
Publisher Taylor & Francis
Place of publication London, Eng.
Publication date 2019-01-01
ISSN 1994-2060
1997-003X
Keyword(s) reservoir operation
evaporation prediction
artificial intelligent models
CANFIS
arid environment
Science & Technology
Technology
Engineering, Multidisciplinary
Engineering, Mechanical
Mechanics
Engineering
SUPPORT VECTOR REGRESSION
PAN EVAPORATION
PREDICTION
WATER
NETWORK
DAM
ALGORITHM
ANFIS
SOIL
Language eng
DOI 10.1080/19942060.2019.1647879
Indigenous content off
Field of Research 0102 Applied Mathematics
0913 Mechanical Engineering
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30129414

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.