首页|Findings in Machine Learning Reported from Shanghai Jiao Tong University (Machin e Learning-based In-process Monitoring for Laser Deep Penetration Welding: a Sur vey)
Findings in Machine Learning Reported from Shanghai Jiao Tong University (Machin e Learning-based In-process Monitoring for Laser Deep Penetration Welding: a Sur vey)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "Inprocessmonito ring (IPM) of laser deep penetration welding (LDPW) has witnessed a rapid growth inapproaches that embrace machine learning algorithms, utilizing raw sensor in put to generate various weldquality evaluations, instead of concentrating on th ermomechanical modeling that is hypotheses-driven andhence biased by it. Benefi tting from the capability to unravel hidden interactions in the complex laser welding process, numerous data-driven IPM methods have been proposed to address di fferent problems inthis area."Financial supporters for this research include National Natural Science Foundati on of China (NSFC),State Key Laboratory of Mechanical System and Vibration.
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