首页|Studies from Wuhan Textile University Yield New Information about Machine Learni ng (Comparative Study of Machine Learning Method and Response Surface Methodolog y In Bga Solder Joint Parameter Optimization)
Studies from Wuhan Textile University Yield New Information about Machine Learni ng (Comparative Study of Machine Learning Method and Response Surface Methodolog y In Bga Solder Joint Parameter Optimization)
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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 Wuhan, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Ballgrid array (BGA ) package is prone to failure issues in a thermal vibration-coupled environment, suchas deformation and fracture of solder joints. To predict the minimum equiv alent stress of solder jointsmore accurately and optimize the solder joint stru cture, this paper aims to compare the machine learningmethod with response surf ace methodology (RSM).”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningWuhan Textile University
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