Robotics & Machine Learning Daily News2024,Issue(Dec.2) :39-39.

Research on Geotechnical Engineering Reported by Researchers at Department of Co mputer Science (Advancing in creep index of soil prediction: A groundbreaking ma chine learning approach with Multivariate Adaptive Regression Splines)

计算机科学系研究人员报告的岩土工程研究(土壤蠕变指数预测进展:多元自适应回归样条的开创性数学学习方法)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :39-39.

Research on Geotechnical Engineering Reported by Researchers at Department of Co mputer Science (Advancing in creep index of soil prediction: A groundbreaking ma chine learning approach with Multivariate Adaptive Regression Splines)

计算机科学系研究人员报告的岩土工程研究(土壤蠕变指数预测进展:多元自适应回归样条的开创性数学学习方法)

扫码查看

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-调查人员讨论岩土工程的新发现。据新闻报道这项研究源于NewsRx编辑的计算机科学系,它指出:准确预测蠕变指数系数对评估长期沉降的意义土壤在岩土工程中至关重要。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in geotechnical engineering. According to newsoriginating from the Department of C omputer Science by NewsRx editors, the research stated, “Thesignificance of acc urately predicting the creep index coefficient for assessing the long-term settl ement ofsoil is critical in geotechnical engineering.”

Key words

Department of Computer Science/Cyborgs/Emerging Technologies/Engineering/Geotechnical Engineering/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文