首页|New Findings on Support Vector Machines Described by Investigators at Nanjing Un iversity of Science and Technology (Identification of Product Definition Pattern s In Mass Customization By Multiinformation Fusion Weighted Support Vector Mach ine)
New Findings on Support Vector Machines Described by Investigators at Nanjing Un iversity of Science and Technology (Identification of Product Definition Pattern s In Mass Customization By Multiinformation Fusion Weighted Support Vector Mach ine)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Support Vector Machines.According to news originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “In mass customization, com panies have built product families to enhance design efficiency and meet custome r requirements.However, the complex and diverse customer requirements make the traditional process of mapping customer needs to product families challenging an d heavily reliant on prior knowledge.”Funders for this research include National Natural Science Foundation of China ( NSFC), Postgraduate Research & Practice Innovation Program of Jian gsu Province.
NanjingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningSupport Vector MachinesVector Mach inesNanjing University of Science and Technology
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