首页|New Machine Learning Findings from Kunming University Reported (Non-destructive Determination of Volatile Compounds and Prediction of Amino Acid Nitrogen During Sufu Fermentation Via Electronic Nose In Combination With Machine Learning ...)
New Machine Learning Findings from Kunming University Reported (Non-destructive Determination of Volatile Compounds and Prediction of Amino Acid Nitrogen During Sufu Fermentation Via Electronic Nose In Combination With Machine Learning ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Kunming, People’s Repu blic of China, by NewsRx journalists, research stated, “Electronic nose along wi th different machine learning approaches was tested as tool to predict degree of sufu fermentation, with amino acid nitrogen content as marker. Consistent incre ase in E-nose signal values and amino acid nitrogen content were noted with ferm entation time.” Financial supporters for this research include Major Science and Technology Proj ects in Yunnan Province, Yunnan Academician Expert Workstation.
KunmingPeople’s Republic of ChinaAsi aAmino AcidsCyborgsEmerging TechnologiesMachine LearningNitrogenPept idesProteinsKunming University
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