摘要
机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据NewsRx记者从意大利米兰发回的新闻报道，研究人员称：“人工智能(AI)和机器学习(ML)技术正在改变建筑工程。本文探讨了建筑参数在影响高层建筑结构响应中的关键作用，特别关注diagrid structu res。”我们的新闻编辑引用了米兰理工大学的研究，“这项研究的主要目的是展示ML如何改善Diagrid建筑的早期设计阶段。使用一个最初收集的小数据集，通过数据增强，从设计可行性的角度对Diagrid建筑进行了分类。这项研究确定了关键的结构和结构参数，实验结果表明，本文提出的方法在生成高质量的合成数据、保持稳定的学习精度、建立结构参数与结构响应之间准确、稳健的关系方面是有效的。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Milan, Ita ly, by NewsRx correspondents, research stated, “Artificial intelligence (AI) and machine learning (ML) techniques are transforming building engineering. This wo rk goes through the critical role of architectural parameters in influencing the structural responses of tall buildings, with a special focus on diagrid structu res.” Our news editors obtained a quote from the research from Polytechnic University Milan, “The main aim of this study is to demonstrate how ML can improve the earl y design phase of diagrid buildings. Using a small, initially collected data set , enhanced through data augmentation, the classification of diagrid buildings in terms of design feasibility is investigated. This study identifies key architec tural and structural parameters, employing various filter and wrapper methods fo r feature selection. The results show that our methods are effective in producin g high -quality synthetic data, maintaining stable learning accuracies, and esta blishing accurate and robust relationships between architectural parameters and structural responses in diagrid buildings.”
NETL
NSTL