Studies from Jiangsu University Yield New Information about Support Vector Machi nes (The Identification of Aged-rice Adulteration By Support Vector Machine Clas sification Combined With Characteristic Wavelength Variables)

Robotics & Machine Learning Daily News2024，Issue(Apr.5) ：53-54.

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Studies from Jiangsu University Yield New Information about Support Vector Machi nes (The Identification of Aged-rice Adulteration By Support Vector Machine Clas sification Combined With Characteristic Wavelength Variables)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Support Vecto r Machines have been published. According tonews reporting from Zhenjiang, Peop le’s Republic of China, by NewsRx journalists, research stated, “Theaging of ri ce during long-term storage leads to a decline in quality and a decrease in cons umption value.Therefore, the efficient and rapid detection of aged-rice adulter ation is crucial for rice quality control.”

Key words

Zhenjiang/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Ma chines/Jiangsu University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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