Robotics & Machine Learning Daily News2024,Issue(Nov.20) :32-33.

New Machine Learning Study Findings Have Been Reported by Investigators at Unive rsity of Concepcion (A Supervised Machine Learning Approach for Estimating Plate Interface Locking: Application To Central Chile)

康塞普西翁大学的研究人员报告了新的机器学习研究结果(一种用于估计板块界面锁定的监督机器学习方法:在智利中部的应用)

Robotics & Machine Learning Daily News2024,Issue(Nov.20) :32-33.

New Machine Learning Study Findings Have Been Reported by Investigators at Unive rsity of Concepcion (A Supervised Machine Learning Approach for Estimating Plate Interface Locking: Application To Central Chile)

康塞普西翁大学的研究人员报告了新的机器学习研究结果(一种用于估计板块界面锁定的监督机器学习方法:在智利中部的应用)

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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-关于机器学习的最新研究结果已经发表。据新闻报道NewsRx通讯员从智利康塞普西翁报道说,“估计A T断层的锁定程度对于确定滑动缺陷A T地震间隙的空间分布很重要。”复杂程度不同的反演方法常用于判断断层闭锁。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting originating from Concepcion , Chile, by NewsRx correspondents, research stated, “Estimating locking degree a t faults is important for determining the spatial distribution of slip deficit a t seismic gaps.Inverse methods of varying complexity are commonly used to estim ate fault locking.”

Key words

Concepcion/Chile/South America/Cyborg s/Emerging Technologies/Machine Learning/University of Concepcion

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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