摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-研究人员详细介绍了机器学习的新数据。根据NewsRx编辑在重庆的新闻报道，研究表明：“这项研究探索了轻质泡沫钢筋混凝土梁，它在现代建筑中对其强度和减轻重量至关重要。它引入了一种新的方法，集成了三种机器学习模型：神经网络(NNs)、遗传算法(GAs)和集成技术，特别是梯度提升机(GBM)。”本研究的资助者包括赵恩清市教委科技研究计划、重庆建设科技计划项目（2023年）、努拉宾阿卜杜勒拉赫曼公主大学研究支持项目、努拉宾阿卜杜勒拉赫曼公主大学、沙特阿拉伯利雅得努拉宾阿卜杜勒拉赫曼公主大学、萨塔姆本阿卜杜勒阿齐兹王子大学。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting out of Chongqing, People's Republic of Ch ina, by NewsRx editors, research stated, "This research explores lightweight foa med reinforced concrete beams, crucial in modern construction for their strength and reduced weight. It introduces a novel approach, integrating three machine l earning models: Neural Networks (NNs), Genetic Algorithms (GAs), and Ensemble Te chniques, especially Gradient Boosting Machines (GBM)." Funders for this research include Science and Technology Research Program of Cho ngqing Municipal Education Commission, Chongqing Construction Science and Techno logy Programme Project (2023), Princess Nourah bint Abdulrahman University Resea rchers Supporting Project, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, Prince Sattam bin Abdulaziz University.
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