Robotics & Machine Learning Daily News2024,Issue(Dec.3) :79-80.

Researchers at Monash University Have Reported New Data on Machine Learning (Mac hine Learning Assisted Kriging To Capture Spatial Variability In Petrophysical P roperty Modelling)

莫纳什大学的研究人员报告了关于机器学习的新数据(Mac Hine Learning Assisted Kriging,用于捕捉岩石物理物理性质建模中的空间变异性)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :79-80.

Researchers at Monash University Have Reported New Data on Machine Learning (Mac hine Learning Assisted Kriging To Capture Spatial Variability In Petrophysical P roperty Modelling)

莫纳什大学的研究人员报告了关于机器学习的新数据(Mac Hine Learning Assisted Kriging,用于捕捉岩石物理物理性质建模中的空间变异性)

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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-一项关于机器学习的新研究现在可用。根据来自…的消息澳大利亚墨尔本,由NewsRx C或受访者,研究表明,"机器学习(ML)模型已经在评价地层地球物理性质方面已得到广泛应用。ML模型在CA绘制方面表现出色参数之间的非线性相关性,将空间变异性的影响纳入训练测试过程仍然具有挑战性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originating fromMelbourne, Australia, by NewsRx c orrespondents, research stated, “Machine learning (ML) models havebeen widely u sed for estimating formation geophysical properties. While ML models excel at ca pturingnon-linear correlations among parameters, incorporating the impact of sp atial variability into the trainingand testing process remains challenging.”

Key words

Melbourne/Australia/Australia and New Zealand/Cyborgs/Emerging Technologies/Machine Learning/Monash University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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