Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models

Science of the Total Environment

Volumn 407, Issue 17, 2009, Pages 4916-4927

  Rajaee, Taher ^a   Mirbagheri, Seyed Ahmad ^a   Zounemat Kermani, Mohammad ^b   Nourani, Vahid ^c  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

^c UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Artificial neural networks; Hysteresis; Multi linear regression; Neuro fuzzy; Sediment rating curve; Suspended sediment prediction

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; MULTI LINEAR REGRESSION; NEURO-FUZZY; SEDIMENT RATING CURVE; SUSPENDED SEDIMENT PREDICTION;

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; HYSTERESIS; REGRESSION ANALYSIS; RIVERS; SEDIMENTOLOGY;

FUZZY NEURAL NETWORKS;

RIVER WATER;

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; FLUVIAL DEPOSIT; FUZZY MATHEMATICS; HYSTERESIS; MODELING; REGRESSION ANALYSIS; SUSPENDED SEDIMENT;

ACCURACY; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER PREDICTION; CONTROLLED STUDY; FUZZY SYSTEM; INTERMETHOD COMPARISON; LAKE SEDIMENT; MULTIPLE LINEAR REGRESSION ANALYSIS; PARTICLE RESUSPENSION; POLLUTION MONITORING; POSITIVE FEEDBACK; PRIORITY JOURNAL; TIME SERIES ANALYSIS; TURBIDITY; UNITED STATES; WATER POLLUTION; WATER SAMPLING;

ENVIRONMENTAL POLLUTANTS; FUZZY LOGIC; GEOLOGIC SEDIMENTS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER);

EID: 67649111107     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2009.05.016     Document Type: Article

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