首页|Investigators from Mohamed Sathak Engineering College Report New Data on Machine Learning (Axial Load Prediction In Doubleskinned Profiled Steel Composite Wall s Using Machine Learning)

Investigators from Mohamed Sathak Engineering College Report New Data on Machine Learning (Axial Load Prediction In Doubleskinned Profiled Steel Composite Wall s Using Machine Learning)

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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.”

Tamil NaduIndiaAsiaCyborgsEmergi ng TechnologiesEngineeringMachine LearningMohamed Sathak Engineering Colle ge

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.29)