New Support Vector Machines Findings from Shenyang AgriculturalUniversity Discu ssed (Frequency Selection Method With SupportVector Machine To Minimize the Imp act of Individual Differences On the Electrical Impedance Spectra of Fruits)
New Support Vector Machines Findings from Shenyang AgriculturalUniversity Discu ssed (Frequency Selection Method With SupportVector Machine To Minimize the Imp act of Individual Differences On the Electrical Impedance Spectra of Fruits)
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. Accordingto news reporting from Shenyang, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Individual diffe rences in electrical impedance spectroscopy (EIS) parameters is a technical bott leneckin fruit quality detection. To achieve non-destructive fruit quality test ing and minimize the impact ofindividual differences, this paper proposes a fre quency selection + support vector machine strategy basedon the frequency respon se characteristics of biological tissues and the path of current flow.”
Key words
Shenyang/People’s Republic of China/As ia/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Mac hines/Shenyang Agricultural University
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