首页|Reports on Support Vector Machines Findings from Beijing Technology and Business University Provide New Insights (Non-destructive Discrimination of Honey Origin Based On Multispectral Information Fusion Technology)
Reports on Support Vector Machines Findings from Beijing Technology and Business University Provide New Insights (Non-destructive Discrimination of Honey Origin Based On Multispectral Information Fusion Technology)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning - Support Vector Machines. According to news reporting out of B eijing, People’s Republic of China, by NewsRx editors, research stated, “Accurat e discrimination of honey origin is of significant importance for safeguarding c onsumer rights and promoting the sustainable development of apiculture. Spectros copic techniques, as rapid, efficient, and nondestructive detection methods, hav e been widely applied in honey research.” Financial supporters for this research include National Key Research and Develop ment Program of China, National Natural Science Foundation of China (NSFC).
BeijingPeople's Republic of ChinaAsi aMachine LearningSupport Vector MachinesTechnologyBeijing Technology and Business University