Development of a Soft Sensor for a Batch Distillation Column Using Support Vector Regression Techniques

P. Jain; I. Rahman; B.D. Kulkarni

doi:10.1205/cherd05026

Development of a Soft Sensor for a Batch Distillation Column Using Support Vector Regression Techniques

Chemical Engineering Research and Design ◽

10.1205/cherd05026 ◽

2007 ◽

Vol 85 (2) ◽

pp. 283-287 ◽

Cited By ~ 37

Author(s):

P. Jain ◽

I. Rahman ◽

B.D. Kulkarni

Keyword(s):

Support Vector Regression ◽

Distillation Column ◽

Soft Sensor ◽

Support Vector ◽

Batch Distillation ◽

Regression Techniques

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DEVELOPMENT OF A SOFT SENSOR FOR A BATCH DISTILLATION COLUMN USING LINEAR AND NONLINEAR PLS REGRESSION TECHNIQUES

IFAC Proceedings Volumes ◽

10.3182/20020721-6-es-1901.00483 ◽

2002 ◽

Vol 35 (1) ◽

pp. 431-436 ◽

Cited By ~ 1

Author(s):

Eliana Zamprogna ◽

Massimiliano Barolo ◽

Dale E. Seborg

Keyword(s):

Distillation Column ◽

Soft Sensor ◽

Pls Regression ◽

Batch Distillation ◽

Regression Techniques ◽

Linear And Nonlinear

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Heat consumption forecasting using partial least squares, artificial neural network and support vector regression techniques in district heating systems

Korean Journal of Chemical Engineering ◽

10.1007/s11814-010-0220-9 ◽

2010 ◽

Vol 27 (4) ◽

pp. 1063-1071 ◽

Cited By ~ 22

Author(s):

Tae Chang Park ◽

Ui Sik Kim ◽

Lae-Hyun Kim ◽

Byung Wan Jo ◽

Yeong Koo Yeo

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Least Squares ◽

Support Vector Regression ◽

Partial Least Squares ◽

District Heating ◽

Support Vector ◽

Heating Systems ◽

District Heating Systems ◽

Regression Techniques

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Modeling daily soil temperature over diverse climate conditions in Iran—a comparison of multiple linear regression and support vector regression techniques

Theoretical and Applied Climatology ◽

10.1007/s00704-018-2370-3 ◽

2018 ◽

Vol 135 (3-4) ◽

pp. 991-1001 ◽

Cited By ~ 3

Author(s):

Masoomeh Delbari ◽

Salman Sharifazari ◽

Ehsan Mohammadi

Keyword(s):

Linear Regression ◽

Soil Temperature ◽

Multiple Linear Regression ◽

Support Vector Regression ◽

Support Vector ◽

Climate Conditions ◽

Regression Techniques

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Optimal estimation of physical properties of the products of an atmospheric distillation column using support vector regression

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2019.106711 ◽

2020 ◽

Vol 134 ◽

pp. 106711

Author(s):

Ahmet Can Serfidan ◽

Firat Uzman ◽

Metin Türkay

Keyword(s):

Physical Properties ◽

Support Vector Regression ◽

Distillation Column ◽

Optimal Estimation ◽

Support Vector ◽

Atmospheric Distillation

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A Bayesian inference based two-stage support vector regression framework for soft sensor development in batch bioprocesses

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2012.03.004 ◽

2012 ◽

Vol 41 ◽

pp. 134-144 ◽

Cited By ~ 110

Author(s):

Jie Yu

Keyword(s):

Bayesian Inference ◽

Support Vector Regression ◽

Soft Sensor ◽

Support Vector ◽

Two Stage ◽

Sensor Development ◽

Regression Framework

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Integration of CMAC-GBF and Support Vector Regression Techniques

2007 IEEE International Fuzzy Systems Conference ◽

10.1109/fuzzy.2007.4295426 ◽

2007 ◽

Cited By ~ 2

Author(s):

Chen-Chia Chuang ◽

Chia-Chu Hsu ◽

Jin-Tsong Jeng

Keyword(s):

Support Vector Regression ◽

Support Vector ◽

Regression Techniques

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Integrated soft sensor using just-in-time support vector regression and probabilistic analysis for quality prediction of multi-grade processes

Journal of Process Control ◽

10.1016/j.jprocont.2013.03.008 ◽

2013 ◽

Vol 23 (6) ◽

pp. 793-804 ◽

Cited By ~ 99

Author(s):

Yi Liu ◽

Junghui Chen

Keyword(s):

Support Vector Regression ◽

Probabilistic Analysis ◽

Soft Sensor ◽

Support Vector ◽

Just In Time ◽

Quality Prediction

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Multi-scale Wavelet Support Vector Regression for Soft Sensor Modeling

2005 International Conference on Neural Networks and Brain ◽

10.1109/icnnb.2005.1614616 ◽

2006 ◽

Author(s):

Jun Wang ◽

Hong Peng

Keyword(s):

Support Vector Regression ◽

Soft Sensor ◽

Support Vector ◽

Multi Scale ◽

Sensor Modeling

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A soft sensor based on kernel PCA and composite kernel support vector regression for a flotation circuit

2010 2nd International Conference on Advanced Computer Control ◽

10.1109/icacc.2010.5487084 ◽

2010 ◽

Cited By ~ 1

Author(s):

Huizhi Yang ◽

Min Huang

Keyword(s):

Support Vector Regression ◽

Soft Sensor ◽

Support Vector ◽

Kernel Pca ◽

Composite Kernel

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SWE retrieval in Alpine areas with high-resolution COSMO-SkyMed X-band SAR data using Artificial Neural Networks and Support Vector Regression techniques

2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science ◽

10.23919/ursigass49373.2020.9232247 ◽

2020 ◽

Author(s):

Emanuele Santi ◽

Simonetta Paloscia ◽

Simone Pettinato ◽

Ludovica De Gregorio ◽

Giovanni Cuozzo ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

High Resolution ◽

Support Vector Regression ◽

Support Vector ◽

X Band ◽

Regression Techniques ◽

Artificial Neural ◽

Sar Data

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