Robotics & Machine Learning Daily News2024,Issue(Mar.25) :53-53.

Findings from China University of Petroleum (East China) Yields New Data on Mach ine Learning (Swin Transformer Based Fluid Classification Using Gram Angle Field -converted Well Logging Data: a Novel Approach)

Robotics & Machine Learning Daily News2024,Issue(Mar.25) :53-53.

Findings from China University of Petroleum (East China) Yields New Data on Mach ine Learning (Swin Transformer Based Fluid Classification Using Gram Angle Field -converted Well Logging Data: a Novel Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is the subject of a report. According to news reporting originating in Shandong, Peop le's Republic of China, by NewsRx journalists, research stated, “Fluid predictio n is important in exploration work, helping to determine the location of explora tion targets and the reserve potential of the estimated area. Machine learning m ethods can better adapt to different data distributions and nonlinear relationsh ips through model training, resulting in better learning of these complex relati onships.”

Key words

Shandong/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/China University of Petrol eum (East China)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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