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-调查人员发布马学习的新报告。根据新闻报道这项研究源于印度泰米尔纳德邦，由NewsRx记者报道，“这项研究提出了一个新的观点。”基于人工智能驱动的双蒙皮压型钢板轴向极限承载力评估方法复合墙(DPSCWs)。利用80个条目的数据集，使用了7个输入参数，以及各种人工智能技术，包括线性回归、多项式回归、支持向量回归、决策树回归，AdaBoost回归决策树，随机森林回归，梯度对boost回归树、弹性网络回归、岭回归和拉索回归进行了评估。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Tamil Nadu, India, by NewsRx correspondents, research stated, “This study presents aninnovative AI -driven approach to assess the ultimate axial load in Double -Skinned Profiled Steel sheetComposite Walls (DPSCWs). Utilizing a dataset of 80 entries, seven i nput parameters were employed,and various AI techniques, including Linear Regre ssion, Polynomial Regression, Support Vector Regression,Decision Tree Regressio n, Decision Tree with AdaBoost Regression, Random Forest Regression, GradientBo ost Regression Tree, Elastic Net Regression, Ridge Regression, and LASSO Regress ion, were evaluated.”
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