Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

[1]  Shafika Sultan Abdullah,et al.  Empirical Penman-Monteith equation and artificial intelligence techniques in predicting reference evapotranspiration: a review , 2015 .

[2]  김용수,et al.  Extreme Learning Machine 기반 퍼지 패턴 분류기 설계 , 2015 .

[3]  S. Abdullah,et al.  Hybrid of Artificial Neural Network-Genetic Algorithm for Prediction of Reference Evapotranspiration (ET?) in Arid and Semiarid Regions , 2014 .

[4]  J. Monteith,et al.  Principles of Environmental Physics , 2014 .

[5]  Alexandros Iosifidis,et al.  Dynamic action recognition based on dynemes and Extreme Learning Machine , 2013, Pattern Recognit. Lett..

[6]  Victor C. M. Leung,et al.  Extreme Learning Machines [Trends & Controversies] , 2013, IEEE Intelligent Systems.

[7]  Dong Han,et al.  Semantic concept detection for video based on extreme learning machine , 2013, Neurocomputing.

[8]  A. Sepaskhah,et al.  Evaluation of wheat and maize evapotranspiration determination by direct use of the Penman–Monteith equation in a semi-arid region , 2012 .

[9]  Guoren Wang,et al.  Update strategy based on region classification using ELM for mobile object index , 2012, Soft Comput..

[10]  Yuan Lan,et al.  An extreme learning machine approach for speaker recognition , 2012, Neural Computing and Applications.

[11]  Alireza Firoozfar,et al.  Estimating Penman–Monteith Reference Evapotranspiration Using Artificial Neural Networks and Genetic Algorithm: A Case Study , 2012 .

[12]  Hwa Jen Yap,et al.  Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy , 2012, Neurocomputing.

[13]  Hossein Tabari,et al.  Multilayer perceptron for reference evapotranspiration estimation in a semiarid region , 2012, Neural Computing and Applications.

[14]  O. Kisi,et al.  Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain) , 2012 .

[15]  E. Kanecka-Geszke,et al.  Estimation of Reference Evapotranspiration using the FAO Penman-Monteith Method for Climatic Conditions of Poland , 2011 .

[16]  G. Hoogenboom,et al.  Evaluation of Reference Evapotranspiration Models for a Semiarid Environment Using Lysimeter Measurements , 2011 .

[17]  Orazio Giustolisi,et al.  Comparison of three data-driven techniques in modelling the evapotranspiration process. , 2010 .

[18]  Omotayo B. Adeboye,et al.  Evaluation of FAO-56 Penman-Monteith and Temperature Based Models in Estimating Reference Evapotranspiration Using Complete and Limited Data, Application to Nigeria , 2009 .

[19]  Yi Zhao,et al.  A protein secondary structure prediction framework based on the Extreme Learning Machine , 2008, Neurocomputing.

[20]  Gorka Landeras,et al.  Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain) , 2008 .

[21]  Hung Soo Kim,et al.  Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling , 2008 .

[22]  P. Black Revisiting the Thornthwaite and Mather Water Balance 1 , 2007 .

[23]  Luis S. Pereira,et al.  Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages , 2007 .

[24]  Ö. Kisi Generalized regression neural networks for evapotranspiration modelling , 2006 .

[25]  Chee Kheong Siew,et al.  Extreme learning machine: Theory and applications , 2006, Neurocomputing.

[26]  Hirozumi Watanabe,et al.  Application of FAO-56 for evaluating evapotranspiration in simulation of pollutant runoff from paddy rice field in Japan , 2005 .

[27]  Guang-Bin Huang,et al.  Extreme learning machine: a new learning scheme of feedforward neural networks , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

[28]  Narendra Singh Raghuwanshi,et al.  Estimating Evapotranspiration using Artificial Neural Network , 2002 .

[29]  Richard G. Allen,et al.  Estimating Reference Evapotranspiration Under Inaccurate Data Conditions , 2002 .

[30]  Nader Katerji,et al.  Measurement and estimation of actual evapotranspiration in the field under Mediterranean climate: a review , 2000 .

[31]  N. Draper,et al.  Applied Regression Analysis: Draper/Applied Regression Analysis , 1998 .

[32]  R. Allen,et al.  Evapotranspiration and Irrigation Water Requirements , 1990 .

[33]  J. Wright Daily and seasonal evapotranspiration and yield of irrigated alfalfa in southern Idaho , 1988 .

[34]  George H. Hargreaves,et al.  Reference Crop Evapotranspiration from Temperature , 1985 .

[35]  N. Draper,et al.  Applied Regression Analysis. , 1967 .

[36]  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.

[37]  O. Kisi Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate , 2014 .

[38]  Hongming Zhou,et al.  Extreme Learning Machines [Trends & Controversies] , 2013 .

[39]  J. L. Chávez,et al.  Preliminary performance evaluation of the Penman-Monteith evapotranspiration equation in southeastern Colorado , 2013 .

[40]  Marzieh Mokarram,et al.  Model for Prediction of Evapotranspiration Using MLP Neural Network , 2012 .

[41]  N. S. Raghuwanshi,et al.  Artificial neural networks approach in evapotranspiration modeling: a review , 2010, Irrigation Science.

[42]  Yingkuan Wang Agricultural Engineering International : the CIGR Ejournal , 1999 .

[43]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[44]  Jacek M. Zurada,et al.  Introduction to artificial neural systems , 1992 .

[45]  J. Monteith Evaporation from land surfaces: progress in analysis and prediction since 1948 , 1985 .

[46]  J. Knepil Water balance. , 1983, Nursing mirror.

[47]  J. Doorenbos,et al.  Guidelines for predicting crop water requirements , 1977 .

[48]  J. Monteith Evaporation and environment. , 1965, Symposia of the Society for Experimental Biology.

[49]  C. W. Thornthwaite An approach toward a rational classification of climate. , 1948 .