Data-driven modeling and optimization for cavity filters using linear programming support vector regression

Neural Computing and Applications ◽

10.1007/s00521-013-1418-7 ◽

2013 ◽

Vol 24 (7-8) ◽

pp. 1771-1783 ◽

Author(s):

Jinzhu Zhou ◽

Baoyan Duan ◽

Jin Huang ◽

Hongjun Cao

Keyword(s):

Linear Programming ◽

Support Vector Regression ◽

Data Driven ◽

Support Vector ◽

Modeling And Optimization ◽

Cavity Filters ◽

Programming Support ◽

Data Driven Modeling

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Multiple Kernel Linear Programming Support Vector Regression Incorporating Prior Knowledge

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2011.00360 ◽

2011 ◽

Vol 37 (3) ◽

pp. 360-370 ◽

Author(s):

Jin-Zhu ZHOU ◽

Jin HUANG

Keyword(s):

Linear Programming ◽

Support Vector Regression ◽

Prior Knowledge ◽

Support Vector ◽

Multiple Kernel ◽

Programming Support

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Quantum clustering-based weighted linear programming support vector regression for multivariable nonlinear problem

Soft Computing ◽

10.1007/s00500-009-0478-1 ◽

2009 ◽

Vol 14 (9) ◽

pp. 921-929 ◽

Author(s):

Yanfang Yu ◽

Feng Qian ◽

Huimin Liu

Keyword(s):

Linear Programming ◽

Support Vector Regression ◽

Nonlinear Problem ◽

Support Vector ◽

Quantum Clustering ◽

Programming Support

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Non-Mercer hybrid kernel for linear programming support vector regression in nonlinear systems identification

Applied Soft Computing ◽

10.1016/j.asoc.2008.03.007 ◽

2009 ◽

Vol 9 (1) ◽

pp. 94-99 ◽

Author(s):

Zhao Lu ◽

Jing Sun

Keyword(s):

Linear Programming ◽

Nonlinear Systems ◽

Support Vector Regression ◽

Support Vector ◽

Systems Identification ◽

Programming Support ◽

Nonlinear Systems Identification ◽

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Incorporating prior knowledge and multi-kernel into linear programming support vector regression

Soft Computing ◽

10.1007/s00500-014-1390-x ◽

2014 ◽

Vol 19 (7) ◽

pp. 2047-2061 ◽

Author(s):

Jinzhu Zhou ◽

Baoyan Duan ◽

Jin Huang ◽

Na Li

Keyword(s):

Linear Programming ◽

Support Vector Regression ◽

Prior Knowledge ◽

Support Vector ◽

Programming Support

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Parametrization and adaptation of gasoline engine air system model via linear programming Support Vector Regression

2012 American Control Conference (ACC) ◽

10.1109/acc.2012.6315291 ◽

2012 ◽

Author(s):

J. Faust ◽

Jing Sun ◽

K. Butts ◽

Zhao Lu ◽

S. Tanaka

Keyword(s):

Linear Programming ◽

Support Vector Regression ◽

Gasoline Engine ◽

System Model ◽

Support Vector ◽

Programming Support

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Multi-scale linear programming support vector regression for ethylene distillation modeling.

2008 7th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2008.4594460 ◽

2008 ◽

Author(s):

Yanfang Yu ◽

Feng Qian

Keyword(s):

Linear Programming ◽

Support Vector Regression ◽

Support Vector ◽

Multi Scale ◽

Programming Support

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Wiener model identification of blast furnace ironmaking process based on Laguerre filter and linear programming support vector regression

2014 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2014.6889725 ◽

2014 ◽

Author(s):

Xia Xu ◽

Changchun Hua ◽

Yinggan Tang ◽

Xinping Guan

Keyword(s):

Linear Programming ◽

Blast Furnace ◽

Support Vector Regression ◽

Model Identification ◽

Support Vector ◽

Wiener Model ◽

Blast Furnace Ironmaking ◽

Programming Support ◽

Laguerre Filter ◽

Ironmaking Process

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Dynamic engine modeling through linear programming Support Vector Regression

2009 American Control Conference ◽

10.1109/acc.2009.5160279 ◽

2009 ◽

Author(s):

Zhao Lu ◽

Jing Sun ◽

Dongkyoung Lee ◽

Ken Butts

Keyword(s):

Linear Programming ◽

Support Vector Regression ◽

Support Vector ◽

Engine Modeling ◽

Programming Support

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Application of Support Vector Regression for Data-Driven Modeling of Melt Temperature and Carbon Content in LD Converter

2019 20th International Carpathian Control Conference (ICCC) ◽

10.1109/carpathiancc.2019.8765956 ◽

2019 ◽

Author(s):

Jan Kacur ◽

Marek Laciak ◽

Patrik Flegner ◽

Jan Terpak ◽

Milan Durdan ◽

...

Keyword(s):

Carbon Content ◽

Support Vector Regression ◽

Data Driven ◽

Support Vector ◽

Melt Temperature ◽

Data Driven Modeling

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Nonlinear Time-varying Systems Identification by Fuzzy Linear Programming Support Vector Regression

Earth & Space 2008 ◽

10.1061/40988(323)147 ◽

2008 ◽

Author(s):

Z. Lu ◽

J. Sun ◽

Y. P. Zhang

Keyword(s):

Linear Programming ◽

Support Vector Regression ◽

Fuzzy Linear Programming ◽

Support Vector ◽

Time Varying ◽

Time Varying Systems ◽

Systems Identification ◽

Programming Support

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