Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2016.05.017 ◽

2016 ◽

Vol 127 ◽

pp. 56-63 ◽

Cited By ~ 38

Author(s):

Milan Gocic ◽

Dalibor Petković ◽

Shahaboddin Shamshirband ◽

Amirrudin Kamsin

Keyword(s):

Comparative Analysis ◽

Extreme Learning Machine ◽

Reference Evapotranspiration ◽

Learning Machine

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Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

Agricultural and Forest Meteorology ◽

10.1016/j.agrformet.2018.08.007 ◽

2018 ◽

Vol 263 ◽

pp. 41-48 ◽

Cited By ~ 45

Author(s):

Ozgur Kisi ◽

Meysam Alizamir

Keyword(s):

Neural Networks ◽

Extreme Learning Machine ◽

Reference Evapotranspiration ◽

Heuristic Method ◽

Wavelet Neural Networks ◽

Learning Machine

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A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel computation

Agricultural Water Management ◽

10.1016/j.agwat.2020.106624 ◽

2021 ◽

Vol 245 ◽

pp. 106624

Author(s):

Lifeng Wu ◽

Youwen Peng ◽

Junliang Fan ◽

Yicheng Wang ◽

Guomin Huang

Keyword(s):

Parallel Computation ◽

Extreme Learning Machine ◽

Firefly Algorithm ◽

Reference Evapotranspiration ◽

Machine Model ◽

Kernel Extreme Learning Machine ◽

Learning Machine

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Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2017.01.027 ◽

2017 ◽

Vol 136 ◽

pp. 71-78 ◽

Cited By ~ 74

Author(s):

Yu Feng ◽

Yong Peng ◽

Ningbo Cui ◽

Daozhi Gong ◽

Kuandi Zhang

Keyword(s):

Neural Network ◽

Extreme Learning Machine ◽

Reference Evapotranspiration ◽

Temperature Data ◽

Generalized Regression Neural Network ◽

Generalized Regression ◽

Learning Machine

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Extreme learning machine based on particle swarm optimization for estimation of reference evapotranspiration

2017 36th Chinese Control Conference (CCC) ◽

10.23919/chicc.2017.8028076 ◽

2017 ◽

Cited By ~ 4

Author(s):

Tianfeng Liu ◽

Yongsheng Ding ◽

Xin Cai ◽

Yifeng Zhu ◽

Xiangfei Zhang

Keyword(s):

Particle Swarm Optimization ◽

Extreme Learning Machine ◽

Reference Evapotranspiration ◽

Particle Swarm ◽

Swarm Optimization ◽

Learning Machine

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Improved online sequential extreme learning machine for simulation of daily reference evapotranspiration

Tecnología y Ciencias del Agua ◽

10.24850/j-tyca-2017-02-12 ◽

2017 ◽

Vol 08 (2) ◽

pp. 127-140 ◽

Cited By ~ 3

Author(s):

Yubin Zhang ◽

◽

Zhengying Wei ◽

Lei Zhang ◽

Qinyin Lin ◽

...

Keyword(s):

Extreme Learning Machine ◽

Reference Evapotranspiration ◽

Learning Machine

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Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2020.105430 ◽

2020 ◽

Vol 173 ◽

pp. 105430 ◽

Cited By ~ 5

Author(s):

Bin Zhu ◽

Yu Feng ◽

Daozhi Gong ◽

Shouzheng Jiang ◽

Lu Zhao ◽

...

Keyword(s):

Particle Swarm Optimization ◽

Extreme Learning Machine ◽

Reference Evapotranspiration ◽

Particle Swarm ◽

Climatic Data ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Learning Machine

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New Formulation for Predicting Daily Reference Evapotranspiration (ET0) in the Mediterranean Region of Algeria Country: Optimally Pruned Extreme Learning Machine (OPELM) Versus Online Sequential Extreme Learning Machine (OSELM)

The Handbook of Environmental Chemistry - Water Resources in Algeria - Part I ◽

10.1007/698_2020_528 ◽

2020 ◽

pp. 181-199

Author(s):

Salim Heddam ◽

Ozgur Kisi ◽

Abderrazek Sebbar ◽

Larbi Houichi ◽

Lakhdar Djemili

Keyword(s):

Extreme Learning Machine ◽

Mediterranean Region ◽

Reference Evapotranspiration ◽

The Mediterranean ◽

Learning Machine ◽

New Formulation

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Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine

Agricultural Water Management ◽

10.1016/j.agwat.2020.106447 ◽

2021 ◽

Vol 243 ◽

pp. 106447

Author(s):

Min Yan Chia ◽

Yuk Feng Huang ◽

Chai Hoon Koo

Keyword(s):

Extreme Learning Machine ◽

Reference Evapotranspiration ◽

Training Strategy ◽

Learning Machine

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Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China

Water ◽

10.3390/w9110880 ◽

2017 ◽

Vol 9 (11) ◽

pp. 880 ◽

Cited By ~ 15

Author(s):

Zhenliang Yin ◽

Qi Feng ◽

Linshan Yang ◽

Ravinesh Deo ◽

Xiaohu Wen ◽

...

Keyword(s):

Support Vector Regression ◽

Extreme Learning Machine ◽

Reference Evapotranspiration ◽

Support Vector ◽

Future Projection ◽

West China ◽

North West ◽

Learning Machine

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Comparative Analysis of Gaussian Process Regression Based Extreme Learning Machine

Journal of Software ◽

10.17706/jsw.12.4.292-302 ◽

2017 ◽

Vol 12 (4) ◽

pp. 292-302

Author(s):

Jing Zhou ◽

◽

Rui Ying Liu ◽

Xu Zhou ◽

Rana Aamir Raza Ashfaq

Keyword(s):

Comparative Analysis ◽

Gaussian Process ◽

Extreme Learning Machine ◽

Gaussian Process Regression ◽

Learning Machine

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