Soft sensor modelling based on mutual information variable selection and partial least squares

2017 Chinese Automation Congress (CAC) ◽

10.1109/cac.2017.8243414 ◽

2017 ◽

Author(s):

Qi Li ◽

Xiaodong Du ◽

Wenya Liu ◽

Wei Ba

Keyword(s):

Mutual Information ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Soft Sensor ◽

Sensor Modelling ◽

Information Variable

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Genetic algorithm optimisation combined with partial least squares regression and mutual information variable selection procedures in near-infrared quantitative analysis of cotton–viscose textiles

Analytica Chimica Acta ◽

10.1016/j.aca.2007.03.024 ◽

2007 ◽

Vol 595 (1-2) ◽

pp. 72-79 ◽

Author(s):

A. Durand ◽

O. Devos ◽

C. Ruckebusch ◽

J.P. Huvenne

Keyword(s):

Genetic Algorithm ◽

Quantitative Analysis ◽

Mutual Information ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Near Infrared ◽

Least Squares Regression ◽

Selection Procedures

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Highly-overlapped, recursive partial least squares soft sensor with state partitioning via local variable selection

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2018.02.006 ◽

2018 ◽

Vol 175 ◽

pp. 104-115 ◽

Author(s):

Dominic V. Poerio ◽

Steven D. Brown

Keyword(s):

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Soft Sensor ◽

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Developing a soft sensor based on sparse partial least squares with variable selection

Journal of Process Control ◽

10.1016/j.jprocont.2014.05.014 ◽

2014 ◽

Vol 24 (7) ◽

pp. 1046-1056 ◽

Author(s):

Jialin Liu

Keyword(s):

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

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Comparison of different variable selection methods for partial least squares soft sensor development

2014 American Control Conference ◽

10.1109/acc.2014.6859335 ◽

2014 ◽

Author(s):

Zi Xiu Wang ◽

Qinghua He ◽

Jin Wang

Keyword(s):

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Soft Sensor ◽

Selection Methods ◽

Sensor Development

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Developing a Soft Sensor for an Air Separation Process Based on Variable Selection in Dynamic Partial Least Squares

Computer Aided Chemical Engineering - 24th European Symposium on Computer Aided Process Engineering ◽

10.1016/b978-0-444-63456-6.50115-0 ◽

2014 ◽

pp. 685-690 ◽

Author(s):

Jialin Liu ◽

Ding-Sou Chen

Keyword(s):

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Soft Sensor ◽

Separation Process ◽

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Soft sensor modelling by time difference, recursive partial least squares and adaptive model updating

Measurement Science and Technology ◽

10.1088/1361-6501/aa57e2 ◽

2017 ◽

Vol 28 (4) ◽

pp. 045101 ◽

Author(s):

Y Fu ◽

W Yang ◽

O Xu ◽

L Zhou ◽

J Wang

Keyword(s):

Least Squares ◽

Partial Least Squares ◽

Model Updating ◽

Soft Sensor ◽

Time Difference ◽

Adaptive Model ◽

Sensor Modelling

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Classification and quantitation of milk powder by near-infrared spectroscopy and mutual information-based variable selection and partial least squares

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy ◽

10.1016/j.saa.2017.08.034 ◽

2018 ◽

Vol 189 ◽

pp. 183-189 ◽

Author(s):

Hui Chen ◽

Chao Tan ◽

Zan Lin ◽

Tong Wu

Keyword(s):

Infrared Spectroscopy ◽

Mutual Information ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

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Multiple and complex network built by the path coefficients for partial least squares variable selection research

Future Communication Technology ◽

10.2495/icct130901 ◽

2014 ◽

Author(s):

Wangping Xiong ◽

Ying Xiong ◽

Jianqiang Du ◽

Bin Nie

Keyword(s):

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Complex Network ◽

Path Coefficients ◽

Selection Research

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Variable Selection with Partial Least Squares Sensitivity Analysis: An Application to Currency Crises' Real Effects

SSRN Electronic Journal ◽

10.2139/ssrn.909508 ◽

2006 ◽

Author(s):

Fabio A. Arciniegas ◽

Mark Embrechts ◽

Ismael E. Arciniegas Rueda

Keyword(s):

Sensitivity Analysis ◽

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Currency Crises ◽

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Variable Selection for Partial Least-Squares Calibration of Near-Infrared Data from Orthogonally Designed Experiments

Applied Spectroscopy ◽

10.1366/0003702021954692 ◽

2002 ◽

Vol 56 (3) ◽

pp. 337-345 ◽

Author(s):

S. Kamaledin Setarehdan ◽

John J. Soraghan ◽

David Littlejohn ◽

Daran A. Sadler

Keyword(s):

Variable Selection ◽

Least Squares ◽

Partial Least Squares ◽

Near Infrared ◽

Designed Experiments ◽

Selection For ◽

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