Research and Development of Sucrose Supersaturation Soft Measurement System Based on Least Square Support Vector Machine

Yan Mei Meng; Guan Cheng Lu; Quan Zhou; Chun Wa Qin; Hai Feng Pang; Kang Yuan Zheng

doi:10.4028/www.scientific.net/AMR.694-697.1229

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Research and Development of Sucrose...

Research and Development of Sucrose Supersaturation Soft Measurement System Based on Least Square Support Vector Machine

Abstract:

Nowadays, it's difficult to stably measure sucrose supersaturation through an online instrument directly. This paper is Nowadays, it's difficult to stably measure sucrose supersaturation through an online instrument directly. This paper is based on the soft measurement principle，extracting the principal component of auxiliary variables in sucrose supersaturation soft measuring with the method of kernel partial least squares, and eliminating the multiple nonlinear correlation among the auxiliary variables and noise interference, building an online soft measurement of sucrose supersaturation and offline soft measurement model，and improving the accuracy of soft measurement . The paper develops the system of sucrose supersaturation soft measurement by using VC + +6.0.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

1229-1232

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.1229

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Online since:

May 2013

Authors:

Yan Mei Meng, Guan Cheng Lu, Quan Zhou, Chun Wa Qin, Hai Feng Pang, Kang Yuan Zheng

Keywords:

Least Squares Support Vector Machines (Ls-SVM), Soft Measurement System, Sucrose Supersaturation

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References

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