Robotics & Machine Learning Daily News2024,Issue(Aug.8) :67-68.

Findings on Machine Learning Reported by Investigators at Chinese Academy of Sci ences (Ssl-vgmm: a Semisupervised Machine Learning Model of Multisource Data Fus ion for Lithology Prediction)

Robotics & Machine Learning Daily News2024,Issue(Aug.8) :67-68.

Findings on Machine Learning Reported by Investigators at Chinese Academy of Sci ences (Ssl-vgmm: a Semisupervised Machine Learning Model of Multisource Data Fus ion for Lithology Prediction)

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Abstract

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 reportingfrom Beijing, People’s Republic of C hina, by NewsRx journalists, research stated, “In deep mineral explo-ration, it i s difficult to constrain the complex geological structures using a single geophy sical method. Totackle the difficulty, integrated geophysical surveys and joint data interpretation are essential.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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