Evaluation of artificial neural network model and statistical analysis relationships to predict the stable channel width

River Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016

Volumn , Issue , 2016, Pages 417-421

  Bonakdari, H ^a   Gholami, A ^a  

^a RAZI UNIVERSITY   (Iran)

Author keywords

ANN model; Observed data; Regression relations; Stable channel width

Indexed keywords

FORECASTING; HYDRAULICS; MEAN SQUARE ERROR; PETROLEUM RESERVOIR EVALUATION; RIVERS; STREAM FLOW; WELL TESTING;

ANN MODELING; ARTIFICIAL NEURAL NETWORK MODELING; COMPLEX PHYSICAL PROCESS; DETERMINATION COEFFICIENTS; OBSERVED DATA; REGRESSION RELATIONS; ROOT MEAN SQUARED ERRORS; STABLE CHANNELS;

MULTILAYER NEURAL NETWORKS;

EID: 85015269133     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1201/9781315644479-68     Document Type: Conference Paper

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