首页|Recent Findings from Chongqing Technology and Business Institute Highlight Research in Support Vector Machines (Abnormal noise identification of engines based on wavelet packet transform and bispectrum analysis)
Recent Findings from Chongqing Technology and Business Institute Highlight Research in Support Vector Machines (Abnormal noise identification of engines based on wavelet packet transform and bispectrum analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in support vector machines. According to news originatingfrom Chongqing, People’s Republic of China, by NewsRx correspondents, research stated, “Abnormal noiseis the most prominent problem for motorcycles and affects the consumers’ purchasing desire and drivingexperience and the enterprise’s competitiveness. Usually, the noise from a newly assembled engine isdetected by manual auscultation (MA) to determine if the engine is operating normally.”
Chongqing Technology and Business InstituteChongqingPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machines
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