Robotics & Machine Learning Daily News2024,Issue(Dec.2) :103-104.

New Machine Learning Study Findings Have Been Reported by Researchers at Gdansk University of Technology (Optimization-based Stacked Machine-learning Method for Seismic Probability and Risk Assessment of Reinforced Concrete Shear Walls)

格但斯克理工大学的研究人员报告了新的机器学习研究结果(钢筋混凝土剪力墙地震概率和风险评估的基于优化的堆叠机器学习方法)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :103-104.

New Machine Learning Study Findings Have Been Reported by Researchers at Gdansk University of Technology (Optimization-based Stacked Machine-learning Method for Seismic Probability and Risk Assessment of Reinforced Concrete Shear Walls)

格但斯克理工大学的研究人员报告了新的机器学习研究结果(钢筋混凝土剪力墙地震概率和风险评估的基于优化的堆叠机器学习方法)

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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-关于机器学习的最新研究结果已经发表。根据新sRx记者从波兰格但斯克发回的新闻报道称,“有效的地震风险”评估有助于决策者制定全市风险缓解计划,提供对以下问题的见解建筑性能和改造成本。建模、分析和后处理的复杂性结果的局限性使得地震响应的快速跟踪变得困难,需要对地震响应进行优化计算时间。

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 from Gdansk, Poland, by New sRx journalists, research stated, “Efficient seismic riskassessment aids decisi on-makers in formulating citywide risk mitigation plans, providing insights intobuilding performance and retrofitting costs. The complexity of modeling, analys is, and postprocessingof the results makes it hard to fast-track the seismic pr obabilities, and there is a need to optimize thecomputational time.”

Key words

Gdansk/Poland/Europe/Cyborgs/Emergin g Technologies/Machine Learning/Gdansk University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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