Machine learning utilization for bed load transport in gravel-bed rivers

Water Resources Management

Volumn 28, Issue 11, 2014, Pages 3727-3743

  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 systems (ANFIS); Artificial neural networks (ANNs); Genetic programming (GP); Gravel bed rivers; Machine learning; Sediment transport

Indexed keywords

DATA STREAMS; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; GENETIC ALGORITHMS; GENETIC PROGRAMMING; GRAVEL; LEARNING SYSTEMS; MACHINE LEARNING; REGRESSION ANALYSIS; RIVERS; SEDIMENT TRANSPORT; SHEAR STRESS; ARTIFICIAL INTELLIGENCE; FUZZY LOGIC; INTELLIGENT CONTROL; NEURAL NETWORKS; SIGNAL FILTERING AND PREDICTION;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; BED-LOAD TRANSPORT; BED-LOAD TRANSPORT RATE; DATA DRIVEN TECHNIQUE; GRAVEL-BED RIVERS; INITIATION OF MOTION; MACHINE LEARNING TECHNIQUES; SYMBOLIC REGRESSION;

FUZZY INFERENCE;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; GRAVEL BED STREAM; SEDIMENT TRANSPORT;

IDAHO; UNITED STATES;

EID: 84927805043     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-014-0706-z     Document Type: Article

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