Assessment of sediment transport approaches for sand-bed rivers by means of machine learning;Evaluation d’approches du transport de sédiments de rivières à lit sableux par apprentissage automatique

Hydrological Sciences Journal

Volumn 60, Issue 9, 2015, Pages 1566-1586

  Kitsikoudis, Vasileios ^a   Sidiropoulos, Epaminondas ^b   Hrissanthou, Vlassios ^a  

^a DEMOCRITUS UNIVERSITY OF THRACE   (Greece)

^b ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

adaptive network based fuzzy inference system; artificial neural networks; genetic programming; machine learning; sand bed rivers; sediment transport

Indexed keywords

ARTIFICIAL INTELLIGENCE; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; LEARNING ALGORITHMS; NEURAL NETWORKS; RIVERS; SEDIMENT TRANSPORT; SEDIMENTATION; SEDIMENTS; SHEAR STRESS;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; DATA DRIVEN TECHNIQUE; INPUT PARAMETER; MACHINE LEARNING TECHNIQUES; SEDIMENT CARRYING CAPACITY; SYMBOLIC REGRESSION; TRANSPORT FUNCTION; UNIT STREAM POWER;

LEARNING SYSTEMS;

ARTIFICIAL NEURAL NETWORK; FLUVIAL DEPOSIT; FUZZY MATHEMATICS; GENETIC ALGORITHM; MACHINE LEARNING; SEDIMENT TRANSPORT;

EID: 84941178712     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626667.2014.909599     Document Type: Article

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