Robotics & Machine Learning Daily News2024,Issue(Dec.4) :190-192.

Investigators at Wroclaw University of Science & Technology Discus s Findings in Machine Learning (Comparative Analysis of Cement Grade and Cement Strength As Input Features for Machine Learning-based Concrete Strength Predicti on)

弗罗茨瓦夫科技大学的研究人员讨论了机器学习的发现(水泥等级和水泥强度作为基于机器学习的混凝土强度预测输入特征的比较分析)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :190-192.

Investigators at Wroclaw University of Science & Technology Discus s Findings in Machine Learning (Comparative Analysis of Cement Grade and Cement Strength As Input Features for Machine Learning-based Concrete Strength Predicti on)

弗罗茨瓦夫科技大学的研究人员讨论了机器学习的发现(水泥等级和水泥强度作为基于机器学习的混凝土强度预测输入特征的比较分析)

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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-机器学习的最新研究结果已经发表。根据新闻报道源于波兰Wroclaw,由NewsRx记者报道,研究称,"机器"学习(ML)已成为预测混凝土性能的重要工具。这种螺柱研究了与水泥强度相关的输入特征对ML模型性能的影响。

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 tonews reporting originating from Wroclaw, P oland, by NewsRx correspondents, research stated, “Machinelearning (ML) has gai ned recognition as a valuable tool for predicting concrete properties. This stud yinvestigated the influence of input features related to cement strength on the performance of ML models.”

Key words

Wroclaw/Poland/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/Wroclaw University of Science & Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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