Principle Component Analysis in Conjuction with Data Driven Methods for Sediment Load Prediction

Water Resources Management

Volumn 27, Issue 7, 2013, Pages 2541-2554

  Tayfur, Gokmen ^a   Karimi, Yashar ^b   Singh, Vijay P ^c  

^a IZMIR INSTITUTE OF TECHNOLOGY   (Turkey)

^b EGE UNIVERSITY   (Turkey)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Artificial neural network; Genetic algorithm; Principle component analysis; Sediment load; Transferability

Indexed keywords

FORECASTING; GENETIC ALGORITHMS; LABORATORIES; NONLINEAR EQUATIONS; SEDIMENTS;

DATA-DRIVEN METHODS; DIMENSIONLESS PARAMETERS; GENETIC ALGORITHM (GAS); LABORATORY DATUM; PRINCIPLE COMPONENT ANALYSIS; SEDIMENT LOADS; TOTAL SEDIMENT LOADS; TRANSFERABILITY;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; NONLINEARITY; NUMERICAL MODEL; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; SUSPENDED LOAD; SUSPENDED SEDIMENT;

EID: 84876429805     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-013-0302-7     Document Type: Article

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