Robotics & Machine Learning Daily News2024,Issue(Nov.13) :30-31.

Investigators from Shijiazhuang Tiedao University Target Machine Learning (Inter pretable Machine-learning Models for Predicting Creep Recovery of Concrete)

石家庄铁岛大学目标机器学习(预测混凝土徐变恢复的可移植机器学习模型)

Robotics & Machine Learning Daily News2024,Issue(Nov.13) :30-31.

Investigators from Shijiazhuang Tiedao University Target Machine Learning (Inter pretable Machine-learning Models for Predicting Creep Recovery of Concrete)

石家庄铁岛大学目标机器学习(预测混凝土徐变恢复的可移植机器学习模型)

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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-机器学习的新数据在一份新的报告中呈现。根据NewsRx记者来自中国石家庄G的新闻报道,研究“混凝土的蠕变恢复对于准确评估混凝土的性能至关重要。”结构在服务时间内。现有的蠕变恢复模型精度较低,对蠕变恢复的影响蠕变恢复的因素仍然没有得到充分的说明。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Shijiazhuan g, People’s Republic of China, by NewsRx correspondents, researchstated, “Creep recovery of concrete is essential for accurately assessing the performance of c oncretestructures over service time. Existing creep recovery models exhibit low accuracy, and the influencingfactors of creep recovery remain inadequately elu cidated.”

Key words

Shijiazhuang/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Shijiazhuang Tiedao Un iversity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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