首页|Xi’an University of Technology Researchers Provide Details of New Studies and Fi ndings in the Area of Support Vector Machines (Product Quality Anomaly Recogniti on and Diagnosis Based on DRSN-SVM-SHAP)
Xi’an University of Technology Researchers Provide Details of New Studies and Fi ndings in the Area of Support Vector Machines (Product Quality Anomaly Recogniti on and Diagnosis Based on DRSN-SVM-SHAP)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in . According to news reporting originating from Xi’an, People’s Republic of China , by NewsRx correspondents, research stated, “Conventional quality control metho dologies are inadequate for fully elucidating the aberrant patterns of product q uality. A multitude of factors influence product quality, yet the limited number of controlled quality characteristics is insufficient for accurately diagnosing quality abnormalities.” Financial supporters for this research include Key Research And Development Prog ram of Shaanxi; Key Scientific Research Program of Shaanxi Provincial Education Department; Collaborative Innovation Center of Modern Equipment Green Manufactur ing in Shaanxi Province, China.
Xi’an University of TechnologyXi’anP eople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSuppor t Vector MachinesVector Machines
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