Robotics & Machine Learning Daily News2024,Issue(Dec.6) :98-98.

Research from China University of Petroleum in the Area of Machine Learning Desc ribed (Transfer learning for well logging formation evaluation using similarity weights)

中国石油大学在机器学习领域的研究(基于相似权重的测井地层评价传递学习)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :98-98.

Research from China University of Petroleum in the Area of Machine Learning Desc ribed (Transfer learning for well logging formation evaluation using similarity weights)

中国石油大学在机器学习领域的研究(基于相似权重的测井地层评价传递学习)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于人工智能的新报告。根据消息来源在北京,中国人民日报,由NewsRx记者报道,研究称,“机器学习”已广泛应用于测井地层评价研究。然而,严重的负面挑战在实际实现中影响了机器学习模型的泛化能力,例如Data Domain B etween培训和测试数据集不匹配,样本类别之间不平衡,并充分表示数据模型。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ar tificial intelligence. According to news originatingfrom Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Machine learninghas been widely applied in well logging formation evaluation studies. However, sever al challenges negativelyimpacted the generalization capabilities of machine lea rning models in practical implementations, such asthe mismatch of data domain b etween training and testing datasets, imbalances among sample categories,and in adequate representation of data model.”

Key words

China University of Petroleum/Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learni ng

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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