Modeling river discharge time series using support vector machine and artificial neural networks

Environmental Earth Sciences

Volumn 75, Issue 8, 2016, Pages

  Ghorbani, Mohammad Ali ^a   Khatibi, Rahman ^b   Goel, Arun ^c   FazeliFard, Mohammad Hasan ^a   Azani, Atefeh ^a  

^a UNIVERSITY OF TABRIZ   (Iran)

^b GTEV ReX Limited   (United Kingdom)

^c NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network; Big Cypress River; Support vector machine

Indexed keywords

LINEAR REGRESSION; NEURAL NETWORKS; RIVERS; TIME SERIES; UNCERTAINTY ANALYSIS;

CONVENTIONAL MODELS; INTERCOMPARISONS; MULTIPLE LINEAR REGRESSIONS; PERFORMANCE CRITERION; PERFORMANCE MEASURE; PRACTICAL PROBLEMS; PREDICTIVE MODELS; TRAINING AND TESTING;

SUPPORT VECTOR MACHINES;

ARTIFICIAL NEURAL NETWORK; DATA ASSIMILATION; HYDROLOGICAL MODELING; PERFORMANCE ASSESSMENT; RATING CURVE; RIVER DISCHARGE; SUPPORT VECTOR MACHINE; TIME SERIES ANALYSIS; UNCERTAINTY ANALYSIS;

TEXAS; UNITED STATES;

CUPRESSUS;

EID: 84963682833     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-016-5435-6     Document Type: Article

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