Modelling daily suspended sediment of rivers in Turkey using several data-driven techniques

Hydrological Sciences Journal

Volumn 53, Issue 6, 2008, Pages 1270-1285

  Kisi, Ozgur ^a   Yuksel, Ibrahim ^b   Dogan, Emrah ^b  

^a ERCIYES UNIVERSITY   (Turkey)

^b SAKARYA UNIVERSITY   (Turkey)

Author keywords

Adaptive neuro fuzzy technique; Eastern Black Sea region; Neural networks; Suspended sediment modelling

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; FUZZY NEURAL NETWORKS; IMAGE CLASSIFICATION; RIVER POLLUTION; RIVERS; SEDIMENTATION; SEDIMENTOLOGY; SEDIMENTS; STREAM FLOW; SUGAR (SUCROSE); UNCERTAIN SYSTEMS; VEGETATION;

ADAPTIVE NEURO-FUZZY TECHNIQUE; BLACK SEAS; CASE STUDIES; EASTERN BLACK SEA REGION; FISH HABITATS; FUZZY MODELS; FUZZY TECHNIQUES; GENERALIZED REGRESSION NEURAL NETWORKS; NEURAL NETWORK TECHNIQUES; RADIAL BASIS NEURAL NETWORKS; RESERVOIR FILLINGS; SEDIMENT LOADS; SEDIMENT RATING CURVES; SUSPENDED SEDIMENT ESTIMATIONS; SUSPENDED SEDIMENT MODELLING; SUSPENDED SEDIMENTS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; FUZZY MATHEMATICS; MODELING; SEDIMENT TRANSPORT; SUSPENDED SEDIMENT;

BLACK SEA; EURASIA; TURKEY;

EID: 57049168146     PISSN: 02626667     EISSN: None     Source Type: Journal    
DOI: 10.1623/hysj.53.6.1270     Document Type: Article

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