Modeling daily evapotranspiration in hyper-arid environment using gene expression programming
暂无分享,去创建一个
[1] Marnik Vanclooster,et al. Effect of the sampling frequency of meteorological variables on the estimation of the reference evapotranspiration , 2001 .
[2] Cândida Ferreira. Gene Expression Programming in Problem Solving , 2002 .
[3] Richard G. Allen,et al. Measuring versus estimating net radiation and soil heat flux: Impact on Penman-Monteith reference ET estimates in semiarid regions , 2007 .
[4] Hazi Mohammad Azamathulla,et al. Gene-Expression Programming for the Development of a Stage-Discharge Curve of the Pahang River , 2011 .
[5] I. A. Walter,et al. The ASCE standardized reference evapotranspiration equation , 2005 .
[6] Wang Yumin,et al. Seasonal temperature-based models for reference evapotranspiration estimation under semi-arid condition of Malawi , 2009 .
[7] Hossein Tabari,et al. Regional Estimation of Reference Evapotranspiration in Arid and Semiarid Regions , 2010 .
[8] G. Hoogenboom,et al. A comparison of ASCE and FAO-56 reference evapotranspiration for a 15-min time step in humid climate conditions , 2009 .
[9] Ozgur Kisi,et al. Adaptive Neurofuzzy Computing Technique for Evapotranspiration Estimation , 2007 .
[10] J. Monteith,et al. Principles of Environmental Physics , 2014 .
[11] Cândida Ferreira,et al. Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence , 2014, Studies in Computational Intelligence.
[12] Surajit Chattopadhyay,et al. Estimating potential evapotranspiration from limited weather data over Gangetic West Bengal, India: a neurocomputing approach , 2009 .
[13] Francis H. S. Chiew,et al. PENMAN-MONTEITH, FAO-24 REFERENCE CROP EVAPOTRANSPIRATION AND CLASS-A PAN DATA IN AUSTRALIA , 1995 .
[14] Slavisa Trajkovic,et al. Comparison of simplified pan-based equations for estimating reference evapotranspiration. , 2010 .
[15] N. R. Sakthivel,et al. Soft computing approach to fault diagnosis of centrifugal pump , 2012, Appl. Soft Comput..
[16] N. Raghuwanshi,et al. Decision Support System for Estimating Reference Evapotranspiration , 2002 .
[17] R. Abrahart,et al. Use of Gene Expression Programming for Multimodel Combination of Rainfall-Runoff Models , 2012 .
[18] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[19] Hamid Reza Fooladmand,et al. Comparison of different types of Hargreaves equation for estimating monthly evapotranspiration in the south of Iran , 2008 .
[20] Baryohay Davidoff,et al. Comparison of Some Reference Evapotranspiration Equations for California , 2005 .
[21] Saeed Samadianfard,et al. Gene expression programming analysis of implicit Colebrook–White equation in turbulent flow friction factor calculation , 2012 .
[22] Terry J. Gillespie,et al. Evaluation of FAO Penman-Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario, Canada , 2010 .
[23] I. Lorite,et al. Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment , 2006 .
[24] Aytac Guven,et al. Regional-Specific Numerical Models of Evapotranspiration Using Gene-Expression Programming Interface in Sahel , 2012, Water Resources Management.
[25] Ali Aytek,et al. New Approach for Stage–Discharge Relationship: Gene-Expression Programming , 2009 .
[26] Vijay P. Singh,et al. Cross Comparison of Empirical Equations for Calculating Potential Evapotranspiration with Data from Switzerland , 2002 .
[27] Narendra Singh Raghuwanshi,et al. Estimating Evapotranspiration using Artificial Neural Network , 2002 .
[28] R. Allen,et al. Evapotranspiration and Irrigation Water Requirements , 1990 .
[29] Du Zheng,et al. Radiation calibration of FAO56 Penman-Monteith model to estimate reference crop evapotranspiration in China , 2008 .
[30] Cândida Ferreira,et al. Gene Expression Programming: A New Adaptive Algorithm for Solving Problems , 2001, Complex Syst..
[31] Marvin E. Jensen,et al. ASCE's standardized reference evapotranspiration equation. , 2001 .
[32] Hafzullah Aksoy,et al. Genetic Programming‐Based Empirical Model for Daily Reference Evapotranspiration Estimation , 2008 .
[33] G. Fogg. The state and movement of water in living organisms. , 1966, Journal of the Marine Biological Association of the United Kingdom.
[34] O. Kisi,et al. Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain) , 2012 .
[35] Hossein Tabari,et al. Local Calibration of the Hargreaves and Priestley-Taylor Equations for Estimating Reference Evapotranspiration in Arid and Cold Climates of Iran Based on the Penman-Monteith Model , 2011 .
[36] Ioannis K. Tsanis,et al. Hydroinformatics in evapotranspiration estimation , 2003, Environ. Model. Softw..
[37] H. Md. Azamathulla,et al. Gene-expression programming for transverse mixing coefficient , 2012 .
[38] L. S. Pereira,et al. Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .
[39] H. Md. Azamathulla. Gene-expression programming to predict friction factor for Southern Italian rivers , 2012, Neural Computing and Applications.
[40] Ayse Irmak,et al. Solar and Net Radiation-Based Equations to Estimate Reference Evapotranspiration in Humid Climates , 2003 .
[41] N. S. Raghuwanshi,et al. Artificial neural networks approach in evapotranspiration modeling: a review , 2010, Irrigation Science.
[42] Amin Elshorbagy,et al. Modelling the dynamics of the evapotranspiration process using genetic programming , 2007 .
[43] Ozgur Kisi,et al. Evapotranspiration Modeling Using Linear Genetic Programming Technique , 2010 .
[44] H. L. Penman. Natural evaporation from open water, bare soil and grass , 1948, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[45] Ozgur Kisi,et al. Evapotranspiration modelling from climatic data using a neural computing technique , 2007 .
[46] Hossein Tabari,et al. Evaluation of Reference Crop Evapotranspiration Equations in Various Climates , 2010 .
[47] S. S. Zanetti,et al. Estimating Evapotranspiration Using Artificial Neural Network and Minimum Climatological Data , 2007 .
[48] Slavisa Trajkovic,et al. Testing hourly reference evapotranspiration approaches using lysimeter measurements in a semiarid climate. , 2010 .