China University of Mining and Technology Researcher Describes Findings in Suppo rt Vector Machines (A High-Precision Monitoring Method Based on SVM Regression f or Multivariate Quantitative Analysis of PID Response to VOC Signals)

Robotics & Machine Learning Daily News2024，Issue(MAY.16) ：83-84.

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China University of Mining and Technology Researcher Describes Findings in Suppo rt Vector Machines (A High-Precision Monitoring Method Based on SVM Regression f or Multivariate Quantitative Analysis of PID Response to VOC Signals)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on support vector machines is now available. According to news reporting from Xuzhou, People’s Republic of China, by NewsRx journalists, research stated, “In the moist environment of soi l-water-air, there is a problem of low accuracy in monitoring volatile organic c ompounds (VOCs) using a photoionization detector (PID).”

Key words

China University of Mining and Technolog y/Xuzhou/People’s Republic of China/Asia/Machine Learning/Support Vector Ma chines

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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