The applicability of Generic Self-Evolving Takagi-Sugeno-Kang neuro-fuzzy model in modeling rainfall-runoff and river routing

Ashrafi, Mohammad, Chua, Lloyd HC and Quek, Chai 2019, The applicability of Generic Self-Evolving Takagi-Sugeno-Kang neuro-fuzzy model in modeling rainfall-runoff and river routing, Hydrology research, vol. 50, no. 4, pp. 991-1001, doi: 10.2166/nh.2019.146.


Title The applicability of Generic Self-Evolving Takagi-Sugeno-Kang neuro-fuzzy model in modeling rainfall-runoff and river routing
Author(s) Ashrafi, Mohammad
Chua, Lloyd HCORCID iD for Chua, Lloyd HC orcid.org/0000-0003-2523-3735
Quek, Chai
Journal name Hydrology research
Volume number 50
Issue number 4
Start page 991
End page 1001
Total pages 11
Publisher IWA Publishing
Place of publication London, Eng.
Publication date 2019-08-01
ISSN 1998-9563
2224-7955
Keyword(s) GSETSK
local learning
neuro-fuzzy
rainfall–runoff
river routing
rule base
Language eng
DOI 10.2166/nh.2019.146
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2019, IWA Publishing
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128784

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