Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran

Afshin Ashrafzadeh; Ozgur Kişi; Pouya Aghelpour; Seyed Mostafa Biazar; Mohammadreza Askarizad Masouleh

doi:10.1061/(asce)ir.1943-4774.0001471

Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran

Journal of Irrigation and Drainage Engineering ◽

10.1061/(asce)ir.1943-4774.0001471 ◽

2020 ◽

Vol 146 (6) ◽

pp. 04020010 ◽

Cited By ~ 12

Author(s):

Afshin Ashrafzadeh ◽

Ozgur Kişi ◽

Pouya Aghelpour ◽

Seyed Mostafa Biazar ◽

Mohammadreza Askarizad Masouleh

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Comparative Study ◽

Support Vector ◽

Time Series Models ◽

Northern Iran ◽

Vector Machines

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Discussion of “Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran” by Afshin Ashrafzadeh, Ozgur Kişi, Pouya Aghelpour, Seyed Mostafa Biazar, and Mohammadreza Askarizad Masouleh

Journal of Irrigation and Drainage Engineering ◽

10.1061/(asce)ir.1943-4774.0001565 ◽

2021 ◽

Vol 147 (6) ◽

pp. 07021005

Author(s):

Isa Ebtehaj ◽

Hossein Bonakdari

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Comparative Study ◽

Support Vector ◽

Time Series Models ◽

Northern Iran ◽

Vector Machines

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Closure to “Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran” by Afshin Ashrafzadeh, Ozgur Kişi, Pouya Aghelpour, Seyed Mostafa Biazar, and Mohammadreza Askarizad Masouleh

Journal of Irrigation and Drainage Engineering ◽

10.1061/(asce)ir.1943-4774.0001564 ◽

2021 ◽

Vol 147 (6) ◽

pp. 07021006

Author(s):

Afshin Ashrafzadeh ◽

Ozgur Kişi ◽

Pouya Aghelpour ◽

Seyed Mostafa Biazar ◽

Mohammadreza Askarizad Masouleh

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Comparative Study ◽

Support Vector ◽

Time Series Models ◽

Northern Iran ◽

Vector Machines

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A comparison between least squares support vector machines and time series models for carbon price prediction

Information Science and Management Engineering ◽

10.2495/isme133913 ◽

2013 ◽

Author(s):

B.Z. Zhu

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Least Squares ◽

Carbon Price ◽

Support Vector ◽

Time Series Models ◽

Price Prediction ◽

Vector Machines

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Modified support vector machines in financial time series forecasting

Neurocomputing ◽

10.1016/s0925-2312(01)00676-2 ◽

2002 ◽

Vol 48 (1-4) ◽

pp. 847-861 ◽

Cited By ~ 247

Author(s):

Francis E.H. Tay ◽

L.J. Cao

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Financial Time ◽

Vector Machines

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Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596890 ◽

2010 ◽

Cited By ~ 14

Author(s):

Paulo Cortez

Keyword(s):

Neural Networks ◽

Time Series ◽

Sensitivity Analysis ◽

Support Vector Machines ◽

Time Lag ◽

Support Vector ◽

Seasonal Time Series ◽

Lag Selection ◽

Vector Machines

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Directional Forecasting in Financial Time Series Using Support Vector Machines: The USD/EURO Exchange Rate

SSRN Electronic Journal ◽

10.2139/ssrn.2387655 ◽

2011 ◽

Author(s):

Vasilios Plakandaras ◽

Periklis Gogas ◽

Theophilos Papadimitriou

Keyword(s):

Time Series ◽

Exchange Rate ◽

Support Vector Machines ◽

Financial Time Series ◽

Support Vector ◽

Financial Time ◽

Vector Machines

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Support Vector Machines of Interval-based Features for Time Series Classification

Research and Development in Intelligent Systems XXI ◽

10.1007/1-84628-102-4_18 ◽

2007 ◽

pp. 244-257 ◽

Cited By ~ 2

Author(s):

Juan José Rodríguez ◽

Carlos J. Alonso

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Time Series Classification ◽

Vector Machines

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Feature Selection for Support Vector Machines in Financial Time Series Forecasting

Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents - Lecture Notes in Computer Science ◽

10.1007/3-540-44491-2_38 ◽

2000 ◽

pp. 268-273 ◽

Cited By ~ 5

Author(s):

L. J. Cao ◽

Francis E. H. Tay

Keyword(s):

Time Series ◽

Feature Selection ◽

Support Vector Machines ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Financial Time ◽

Vector Machines ◽

Selection For

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A New Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series

Pervasive Computing and the Networked World - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37015-1_68 ◽

2013 ◽

pp. 775-787 ◽

Cited By ~ 1

Author(s):

Yanhua Yu ◽

Junde Song ◽

Zhijun Ren

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Parameters Selection ◽

Vector Machines ◽

Selection Approach

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A Comparative Study on Fault Detection Using Twin Support Vector Machines for Wireless Sensor Networks

10.1007/978-981-16-0275-7_22 ◽

2021 ◽

pp. 261-273

Author(s):

Jyotsana Singh ◽

Ajay Singh Raghuvanshi ◽

Namrita Shukla ◽

Shashank Gavel

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Support Vector Machines ◽

Fault Detection ◽

Comparative Study ◽

Wireless Sensor ◽

Support Vector ◽

Twin Support Vector Machines ◽

Vector Machines

Download Full-text