Robotics & Machine Learning Daily News2024,Issue(Dec.4) :104-105.

Researchers from University of Iceland Provide Details of New Studies and Findin gs in the Area of Machine Learning (Nonlinear Tree Based Regression Ensemble Mod eling for Repair Cost Prediction In Earthquake Damaged Rc Bridges)

冰岛大学的研究人员提供了机器学习领域的新研究和发现的细节(用于地震损坏钢筋混凝土桥梁修复费用预测的非线性树回归集成模型)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :104-105.

Researchers from University of Iceland Provide Details of New Studies and Findin gs in the Area of Machine Learning (Nonlinear Tree Based Regression Ensemble Mod eling for Repair Cost Prediction In Earthquake Damaged Rc Bridges)

冰岛大学的研究人员提供了机器学习领域的新研究和发现的细节(用于地震损坏钢筋混凝土桥梁修复费用预测的非线性树回归集成模型)

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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-一项关于机器学习的新研究现在可用。根据新闻报道NewsRx Edito RS在冰岛Selfoss发表的一项研究称:“数据驱动模型在各种领域都很有用。”桥梁工程中的分类与回归问题尽管机器学习在计算机领域的应用识别桥梁的性能和特性一直在增加,使用真实的震害数据在文献中只有很少的报道。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingout of Selfoss, Iceland, by NewsRx edito rs, research stated, “Data driven models are useful in variousclassification an d regression problems in bridge engineering. Although machine learning applicati ons inidentifying the performance and characteristics of bridges has been incre asing, repair cost modeling usingreal earthquake damage data is only sparsely r eported in the literature.”

Key words

Selfoss/Iceland/Europe/Cyborgs/Emerg ing Technologies/Machine Learning/University of Iceland

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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