A machine code-based genetic programming for suspended sediment concentration estimation
暂无分享,去创建一个
Özgür Kisi | Aytaç Güven | Ö. Kisi | A. Güven | Aytaç Güven
[1] O. Kisi,et al. A genetic programming approach to suspended sediment modelling , 2008 .
[2] Deg-Hyo Bae,et al. Monthly dam inflow forecasts using weather forecasting information and neuro-fuzzy technique , 2007 .
[3] Yaqub Rafiq,et al. An Evolutionary Computation Approach to Sediment Transport Modelling , 2006 .
[4] Wolfgang Banzhaf,et al. Genetic Programming: An Introduction , 1997 .
[5] Markus Brameier,et al. On linear genetic programming , 2005 .
[6] Hafzullah Aksoy,et al. Genetic Programming‐Based Empirical Model for Daily Reference Evapotranspiration Estimation , 2008 .
[7] R. S. Govindaraju,et al. Artificial Neural Networks in Hydrology , 2010 .
[8] Peter Nordin,et al. A compiling genetic programming system that directly manipulates the machine-code , 1994 .
[9] Ozgur Kisi,et al. Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones , 2005 .
[10] Aytac Guven,et al. Linear genetic programming for time-series modelling of daily flow rate , 2009 .
[11] Ozgur Kisi,et al. Streamflow Forecasting Using Different Artificial Neural Network Algorithms , 2007 .
[12] Daniel Rivero,et al. Prediction and modeling of the rainfall-runoff transformation of a typical urban basin using ann and gp , 2003, Appl. Artif. Intell..
[13] N. K. Goel,et al. Takagi–Sugeno fuzzy inference system for modeling stage–discharge relationship , 2006 .
[14] K. P. Sudheer,et al. Fuzzy model identification based on cluster estimation for reservoir inflow forecasting , 2008 .
[15] Ozgur Kisi,et al. Suspended sediment concentration estimation by an adaptive neuro-fuzzy and neural network approaches using hydro-meteorological data , 2009 .
[16] Li-Chiu Chang,et al. Real‐time recurrent learning neural network for stream‐flow forecasting , 2002 .
[17] Zhiye Zhao,et al. An optimal neural network and concrete strength modeling , 2002 .
[18] Ozgur Kisi,et al. River Flow Modeling Using Artificial Neural Networks , 2004 .
[19] Ali Aytek,et al. New Approach for Stage–Discharge Relationship: Gene-Expression Programming , 2009 .
[20] K. P. Sudheer,et al. Identification of physical processes inherent in artificial neural network rainfall runoff models , 2004 .
[21] Vladan Babovic,et al. Declarative and Preferential Bias in GP-based Scientific Discovery , 2002, Genetic Programming and Evolvable Machines.
[22] O. Giustolisi. Using genetic programming to determine Chèzy resistance coefficient in corrugated channels , 2004 .
[23] C. Sivapragasam,et al. Genetic programming approach for flood routing in natural channels , 2008 .
[24] Daniel Rivero,et al. Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks , 2007 .
[25] Peter Nordin,et al. Evolutionary program induction of binary machine code and its applications , 1997 .
[26] O. Kisi. River flow forecasting and estimation using different artificial neural network techniques , 2008 .
[27] Vladan Babovic,et al. Data Mining and Knowledge Discovery in Sediment Transport , 2000 .
[28] Hafzullah Aksoy,et al. An explicit neural network formulation for evapotranspiration , 2008 .
[29] Mustafa Gunal,et al. Prediction of Scour Downstream of Grade-Control Structures Using Neural Networks , 2008 .
[30] Ozgur Kisi,et al. Modeling River Stage‐Discharge Relationships Using Different Neural Network Computing Techniques , 2009 .
[31] Frank D. Francone,et al. Extending the boundaries of design optimization by integrating fast optimization techniques with machine-code-based, linear genetic programming , 2004, Inf. Sci..
[32] G. Tayfur. Artificial neural networks for sheet sediment transport , 2002 .
[33] John R. Koza,et al. Genetic Programming II , 1992 .
[34] J. K. Kinnear,et al. Advances in Genetic Programming , 1994 .
[35] Mustafa Gunal,et al. Prediction of pressure fluctuations on sloping stilling basins , 2006 .
[36] Mustafa Gunal,et al. Genetic Programming Approach for Prediction of Local Scour Downstream of Hydraulic Structures , 2008 .
[37] F. Chang,et al. Integrating hydrometeorological information for rainfall‐runoff modelling by artificial neural networks , 2009 .
[38] H. Md. Azamathulla,et al. Genetic Programming Approach to Predict Sediment Concentration for Malaysian Rivers , 2010 .
[39] H. Md. Azamathulla,et al. Linear genetic programming for prediction of circular pile scour , 2009 .
[40] Peter Nordin,et al. Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications , 1998 .
[41] Wolfgang Banzhaf,et al. A comparison of linear genetic programming and neural networks in medical data mining , 2001, IEEE Trans. Evol. Comput..
[42] Özgür Kişi,et al. Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation / Prévision et estimation de la concentration en matières en suspension avec des perceptrons multi-couches et l’algorithme d’apprentissage de Levenberg-Marquardt , 2004 .
[43] Peter Nordin,et al. Evolving Turing-Complete Programs for a Register Machine with Self-modifying Code , 1995, ICGA.
[44] H. Akaike. A new look at the statistical model identification , 1974 .