Prediction of suspended sediment concentration from water quality variables

Neural Computing and Applications

Volumn 24, Issue 5, 2014, Pages 1079-1087

  Bayram, Adem ^a   Kankal, Murat ^a   Tayfur, Gökmen ^b   Önsoy, Hizir ^a  

^a KARADENIZ TECHNICAL UNIVERSITY   (Turkey)

^b IZMIR INSTITUTE OF TECHNOLOGY   (Turkey)

Author keywords

Artificial neural networks; Regression analysis; Stream Harsit; Suspended sediment concentration; Total chromium; Total iron; Turbidity

Indexed keywords

EFFECTIVE PARAMETERS; INDEPENDENT PARAMETERS; ROOT MEAN SQUARE ERRORS; STREAM HARSIT; SUSPENDED SEDIMENT CONCENTRATIONS; TOTAL CHROMIUM; TOTAL IRONS; WATER QUALITY VARIABLES;

CHROMIUM; MEAN SQUARE ERROR; NEURAL NETWORKS; REGRESSION ANALYSIS; SUSPENDED SEDIMENTS; TURBIDITY; WATER QUALITY;

FORECASTING;

EID: 84900639299     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-1333-3     Document Type: Article

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