Multi-output least-squares support vector regression machines

Pattern Recognition Letters ◽

10.1016/j.patrec.2013.01.015 ◽

2013 ◽

Vol 34 (9) ◽

pp. 1078-1084 ◽

Author(s):

Shuo Xu ◽

Xin An ◽

Xiaodong Qiao ◽

Lijun Zhu ◽

Lin Li

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Support Vector ◽

Output Least Squares

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An efficient gradient-based model selection algorithm for multi-output least-squares support vector regression machines

Pattern Recognition Letters ◽

10.1016/j.patrec.2018.01.023 ◽

2018 ◽

Vol 111 ◽

pp. 16-22 ◽

Author(s):

Xinqi Zhu ◽

Zhenghong Gao

Keyword(s):

Model Selection ◽

Least Squares ◽

Support Vector Regression ◽

Support Vector ◽

Selection Algorithm ◽

Gradient Based ◽

Output Least Squares

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Inverse Airfoil Design Algorithm Based on Multi-output Least-Squares Support Vector Regression Machines

Lecture Notes in Electrical Engineering - The Proceedings of the 2018 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2018) ◽

10.1007/978-981-13-3305-7_112 ◽

2019 ◽

pp. 1412-1426

Author(s):

Xinqi Zhu ◽

Zhenghong Gao

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Support Vector ◽

Design Algorithm ◽

Output Least Squares

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Wind weather prediction based on multi-output least squares support vector regression optimised by bat algorithm

International Journal of Embedded Systems ◽

10.1504/ijes.2020.105936 ◽

2020 ◽

Vol 12 (2) ◽

pp. 137

Author(s):

Dingcheng Wang ◽

Yiyi Lu ◽

Beijing Chen ◽

Youzhi Zhao

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Weather Prediction ◽

Bat Algorithm ◽

Support Vector ◽

Output Least Squares

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Research on Intuitionistic Fuzzy Multiple Output Least Squares Support Vector Regression

Cloud Computing and Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00009-7_36 ◽

2018 ◽

pp. 389-398

Author(s):

Dingcheng Wang ◽

Yiyi Lu ◽

Beijing Chen ◽

Liming Chen

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Support Vector ◽

Intuitionistic Fuzzy ◽

Output Least Squares

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Wastewater treatment prediction based on immune optimization multi-output least squares support vector regression machine

IEEE Conference Anthology ◽

10.1109/anthology.2013.6784868 ◽

2013 ◽

Author(s):

Ye Hongtao ◽

Luo Fei ◽

Xu Yuge ◽

Tan Guangxing

Keyword(s):

Wastewater Treatment ◽

Least Squares ◽

Support Vector Regression ◽

Support Vector ◽

Immune Optimization ◽

Treatment Prediction ◽

Output Least Squares

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Auto-characterization of naturally fractured reservoirs drilled by horizontal well using multi-output least squares support vector regression

Arabian Journal of Geosciences ◽

10.1007/s12517-021-06559-9 ◽

2021 ◽

Vol 14 (7) ◽

Author(s):

Seyedeh Raha Moosavi ◽

Behzad Vaferi ◽

David A. Wood

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Horizontal Well ◽

Fractured Reservoirs ◽

Naturally Fractured Reservoirs ◽

Support Vector ◽

Naturally Fractured ◽

Output Least Squares

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Wind weather prediction based on multi-output least squares support vector regression optimised by bat algorithm

International Journal of Embedded Systems ◽

10.1504/ijes.2020.10027513 ◽

2020 ◽

Vol 12 (2) ◽

pp. 137

Author(s):

Beijing Chen ◽

Youzhi Zhao ◽

Yiyi Lu ◽

Dingcheng Wang

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Weather Prediction ◽

Bat Algorithm ◽

Support Vector ◽

Output Least Squares

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Improving the optimization efficiency and precision of least squares support vector regression (LSSVR) for pear property prediction

10.1117/12.865737 ◽

2010 ◽

Author(s):

Yong Hao ◽

Yande Liu ◽

Hailiang Zhang ◽

Xuemei Liu ◽

Yuanyuan Pan

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Support Vector ◽

Property Prediction ◽

Optimization Efficiency

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Rapid measurement method for lithium‐ion battery state of health estimation based on least squares support vector regression

International Journal of Energy Research ◽

10.1002/er.6194 ◽

2020 ◽

Author(s):

Bin Xiao ◽

Bing Xiao ◽

Luoshi Liu

Keyword(s):

Least Squares ◽

Support Vector Regression ◽

Lithium Ion Battery ◽

Measurement Method ◽

Lithium Ion ◽

Support Vector ◽

State Of Health ◽

Rapid Measurement

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Application of QSPR for prediction of percent conversion of esterification reactions in supercritical carbon dioxide using least squares support vector regression

The Journal of Supercritical Fluids ◽

10.1016/j.supflu.2010.04.007 ◽

2010 ◽

Vol 54 (2) ◽

pp. 222-230 ◽

Author(s):

M. Esteki ◽

M. Rezayat ◽

H.S. Ghaziaskar ◽

T. Khayamian

Keyword(s):

Carbon Dioxide ◽

Supercritical Carbon Dioxide ◽

Least Squares ◽

Support Vector Regression ◽

Support Vector ◽

Percent Conversion ◽

Esterification Reactions ◽

Supercritical Carbon

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