首页|Chongqing Jiaotong University Researchers Publish New Studies and Findings in th e Area of Machine Learning (Machine learningbased prediction of compressive str ength in circular FRP-confined concrete columns)
Chongqing Jiaotong University Researchers Publish New Studies and Findings in th e Area of Machine Learning (Machine learningbased prediction of compressive str ength in circular FRP-confined concrete columns)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence. According to news reporting originating from Chongqing, People 's Republic of China, by NewsRx correspondents, research stated, "This research aims to evaluate the compressive strength of FRP-confined columns using machine learning models. By systematically organizing codes and models proposed by vario us researchers, significant indicators influencing compressive strength have bee n identified." Our news correspondents obtained a quote from the research from Chongqing Jiaoto ng University: "A comprehensive database comprising 366 samples, including both CFRP and GFRP, has been assembled. Based on this database, a machine learning mo del was developed to accurately predict compressive strength. A thorough evaluat ion was conducted, comparing models proposed by codes and researchers. Additiona lly, a detailed parameter analysis was performed using the XGBoost model. The fi ndings highlight the importance of both code-based and researcher-proposed model s in enhancing our understanding of compressive strength. However, certain model s show tendencies towards conservative or overestimated predictions, indicating the need for further accuracy enhancement."
Chongqing Jiaotong UniversityChongqingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Lear ning
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