Research graph
References from GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs. Local targets link to admitted publications; unresolved targets remain external evidence.
Constructing optimal educational tests using GMDH-based item ranking and selection
10.1016/j.neucom.2008.02.004 · 2009 · External reference
Prediction of partition coefficients of alkaloids in ionic liquids based aqueous biphasic systems using hybrid group method of data handling (GMDH) neural network
10.1016/j.molliq.2013.11.033 · 2014 · External reference
Modeling of multiple short-length-scale stall cells in an axial compressor using evolved GMDH neural networks
10.1016/j.enconman.2008.05.025 · 2008 · External reference
Tool life testing in gundrilling: an application of the group method of data handling (GMDH)
10.1016/j.ijmachtools.2004.09.003 · 2005 · External reference
Estimation of the viscosity of nine nanofluids using a hybrid GMDH-type neural network system
10.1016/j.fluid.2014.03.031 · 2014 · External reference
Discharge coefficient of rectangular sharp-crested side weirs, part II: Domínguez's method
10.1016/j.flowmeasinst.2013.10.006 · 2014 · External reference
Numerical analysis and prediction of the velocity field in curved open channel using artificial neural network and genetic algorithm
2011 · External reference
Discharge coefficient for sharp-crested side weir in subcritical flow
10.1061/(asce)0733-9429(1999)125:10(1051) · 1999 · External reference
Discharge coefficient of lateral diversion from trapezoidal channel
10.1061/(asce)0733-9437(1991)117:4(461) · 1991 · External reference
Discharge coefficient of a triangular side-weir located on a curved channel
10.1061/(asce)0733-9437(2004)130:5(410) · 2004 · External reference
Saggio di teoria del funzionamento degli stramazzi laterali
1934 · External reference
Estimating discharge coefficient of semi-elliptical side weir using ANFIS
10.1016/j.jhydrol.2012.01.010 · 2012 · External reference
Evaluation of sediment transport in sewer using artificial neural network
2013 · External reference
Comparison of genetic algorithm and imperialist competitive algorithms in predicting bed load transport in clean pipe
10.2166/wst.2014.434 · 2014 · External reference
Performance evaluation of adaptive neural fuzzy inference system for sediment transport in sewers
10.1007/s11269-014-0774-0 · 2014 · External reference
Pareto genetic design of GMDH-type neural network for predict discharge coefficient in rectangular side orifices
10.1016/j.flowmeasinst.2014.10.016 · 2015 · External reference
Generalized locally weighted GMDH for short term load forecasting
10.1109/tsmcc.2011.2109378 · 2012 · External reference
Unresolved reference
1975 · External reference
Discharging capacity of rectangular side weirs in straight open channels
10.1016/j.flowmeasinst.2011.04.003 · 2011 · External reference
Unresolved reference
1984 · External reference
The practical research on flood forecasting based on artificial neural networks
10.1016/j.eswa.2009.09.037 · 2010 · External reference
A criterion of efficiency for rainfall–runoff models
10.1016/0022-1694(78)90155-5 · 1978 · External reference
Supercritical flow over a rectangular side weir
10.1139/l03-004 · 2003 · External reference
Improving generalization of artificial neural networks in rainfall–runoff modeling
10.1623/hysj.50.3.439.65025 · 2005 · External reference
Lateral outflow over side weirs
10.1061/(asce)0733-9429(1987)113:4(491) · 1987 · External reference
Artificial neural network modeling of the rainfall–runoff process
10.1029/95wr01955 · 1995 · External reference
Fuzzy GMDH-type neural network model and its application to forecasting of mobile communication
10.1016/j.cie.2005.08.005 · 2006 · External reference
A numerical approach to genetic programming for system identification
10.1162/evco.1995.3.4.417 · 1995 · External reference
Polynomial theory of complex systems
10.1109/tsmc.1971.4308320 · 1971 · External reference
Short-term water demand forecast modeling techniques—conventional methods versus AI
10.1002/j.1551-8833.2002.tb09507.x · 2002 · External reference
Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks
10.1023/a:1014415503476 · 2001 · External reference
Discussion of ‘Discharge coefficient of rectangular side weir, by R. Singh, D. Manivannan and T. Satyanarayana’
10.1061/(asce)0733-9437(1996)122:2(132) · 1996 · External reference
Unresolved reference
2009 · External reference
An investigation on the Su-NSPT correlation using GMDH type neural networks and genetic algorithms
10.1016/j.enggeo.2008.09.006 · 2009 · External reference
Discharge coefficient of semielliptical side weir in subcritical flow
10.1016/j.flowmeasinst.2010.11.002 · 2011 · External reference
Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches
10.1016/j.eswa.2011.09.035 · 2012 · External reference
Estimation of critical submergence for an intake in a stratified fluid media by neuro-fuzzy approach
10.1007/s10652-006-9005-4 · 2006 · External reference
Revised GMDH-type neural network algorithm with a feedback loop identifying sigmoid function neural network
2006 · External reference
Hybrid multi-layered GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer
2012 · External reference
Evaluating the use of “goodness of fit” measures in hydrologic and hydroclimatic model validation
10.1029/1998wr900018 · 1999 · External reference
Shear wave velocity by polynomial neural networks and genetic algorithms based on geotechnical soil properties
10.1007/s13369-012-0525-6 · 2013 · External reference
An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection
10.2478/amcs-2013-0013 · 2013 · External reference
Aboutment scour in live-bed and clear-water using GMDH network
10.2166/wst.2013.670 · 2013 · External reference
Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates
10.1007/s12145-014-0144-8 · 2015 · External reference
Hybrid genetic design of GMDH type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process
10.1243/09544050360673161 · 2003 · External reference
Evolutionary design of generalized polynomial neural networks for modelling and prediction of explosive forming process
10.1016/j.jmatprotec.2005.02.020 · 2005 · External reference
Pareto genetic design of GMDH-type neural networks for nonlinear systems
2007 · External reference
Discussion of spatially varied flow over side weir
10.1061/jyceaj.0003529 · 1972 · External reference
Modeling of the daily rainfall–runoff relationship with artificial neural network
10.1016/j.jhydrol.2003.08.011 · 2004 · External reference
Side weir in rectangular channel
1979 · External reference
Study of flow over side weirs under supercritical conditions
10.1007/s11269-007-9153-4 · 2008 · External reference
Discharge coefficient of rectangular side weirs
10.1061/(asce)0733-9437(1994)120:4(814) · 1994 · External reference
Energy demand prediction using GMDH networks
10.1016/j.neucom.2008.08.006 · 2008 · External reference
Spatially varied flow over side weirs
10.1061/jyceaj.0003188 · 1972 · External reference
A GMDH neural network-based approach to robust fault diagnosis: application to the DAMADICS benchmark problem
10.1016/j.conengprac.2005.04.007 · 2006 · External reference
Dynamic classifier ensemble selection based on GMDH
2009 · External reference
Evolving artificial neural networks
10.1109/5.784219 · 1999 · External reference
Discussion of spatially varied flow over side weir
1972 · External reference
Efficient methods for prediction of velocity fields in open channel junctions based on the artificial neural network
2015 · External reference
A D-GMDH model for time series forecasting
10.1016/j.eswa.2011.11.100 · 2012 · External reference
