A neuro-fuzzy-based modelling approach for sediment transport computation

Hydrological Sciences Journal

Volumn 58, Issue 3, 2013, Pages 587-599

  Wieprecht, Silke ^a   Tolossa, Habtamu G ^a   Yang, Chih Ted ^b  

^a UNIVERSITY OF STUTTGART   (Germany)

^b Engineering Research Center and Hydraulics Laboratory   (United States)

Author keywords

data driven; neuro fuzzy model; optimization; prediction of sediment transport; sensitivity analysis

Indexed keywords

ADAPTIVE NEURO-FUZZY; ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; DATA-DRIVEN; GRID PARTITIONING; INPUT VARIABLES; NEURO-FUZZY MODEL; SEDIMENT TRANSPORT COMPUTATION; TYPE OF MEMBERSHIP FUNCTIONS;

DIGITAL STORAGE; OPTIMIZATION; SEDIMENTATION; SENSITIVITY ANALYSIS;

SEDIMENT TRANSPORT;

DATA SET; ESTIMATION METHOD; FUZZY MATHEMATICS; NUMERICAL MODEL; OPTIMIZATION; PREDICTION; SEDIMENT TRANSPORT; SENSITIVITY ANALYSIS;

RHINE RIVER;

EID: 84876452664     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626667.2012.755264     Document Type: Article

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