首页|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)
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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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.”
ZhenjiangPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Ma chinesJiangsu University
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