Robotics & Machine Learning Daily News2024,Issue(Dec.3) :25-25.

Findings from Zhejiang University Update Understanding of Machine Learning (Inte lligent Prediction of Comprehensive Mechanical Properties of Recycled Aggregate Concrete With Supplementary Cementitious Materials Using Hybrid Machine Learning ...)

浙江大学的研究结果更新了机器学习的理解(使用混合机器学习智能预测辅助胶凝材料再生混凝土的综合力学性能)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :25-25.

Findings from Zhejiang University Update Understanding of Machine Learning (Inte lligent Prediction of Comprehensive Mechanical Properties of Recycled Aggregate Concrete With Supplementary Cementitious Materials Using Hybrid Machine Learning ...)

浙江大学的研究结果更新了机器学习的理解(使用混合机器学习智能预测辅助胶凝材料再生混凝土的综合力学性能)

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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新闻-机器学习的新研究是一份报告的主题。根据新闻报道来自中国人民广播公司杭州,由NewsRx记者报道,研究称,“考虑在再生混凝土中广泛使用多组分辅助胶凝材料”骨料混凝土是一种可持续发展综合力学性能的智能预测本研究使用hy型机器学习算法,而不是使用hy型机器学习算法提出低碳混凝土进行了大量的实验来建立统计经验模型。数据库利用980个数据集对机器学习算法hms进行了训练、验证和测试各种评估指标"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Hangzhou, People’s Repu blic of China, by NewsRx correspondents, research stated,“Considering the wide utilization of multi-component supplementary cementitious materials in recycledaggregate concrete, an intelligent prediction of comprehensive mechanical proper ties of this sustainablelow-carbon concrete was proposed in this study using hy brid machine learning algorithms, rather thanconducting tremendous experiments to establish a statistical empirical model previously. The databaseconsisting o f 980 datasets was used to train, validate and test the machine learning algorit hms withvarious evaluation indicators.”

Key words

Hangzhou/People’s Republic of China/As ia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Zhejiang Unive rsity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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