Reports Summarize Machine Learning Findings from Jiangsu University (Comparison of Optimization Algorithms for Variable Selection To Enhance the Predictive Perf ormance of Pls Regression Model In Determining the Concentration of Heavy Metal Cd ...)

报告总结了江苏大学的机器学习研究结果(变量选择优化算法的比较,以提高Pls回归模型在重金属镉浓度测定中的预测性能)

Robotics & Machine Learning Daily News2024，Issue(Jun.10) ：3-4.

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Reports Summarize Machine Learning Findings from Jiangsu University (Comparison of Optimization Algorithms for Variable Selection To Enhance the Predictive Perf ormance of Pls Regression Model In Determining the Concentration of Heavy Metal Cd ...)

报告总结了江苏大学的机器学习研究结果(变量选择优化算法的比较,以提高Pls回归模型在重金属镉浓度测定中的预测性能)

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摘要

由一名新闻记者-机器人和机器学习每日新闻的工作人员新闻编辑-一项关于机器学习的新研究现在可以获得。据News Rx记者在中华人民共和国镇江的新闻报道，研究表明：“花生油是世界上广受欢迎的食用植物油，花生油的原料在种植、加工和运输过程中可能会受到重金属污染。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on Machine Learning is now available. According to news reporting from Zhenjiang, People’s Republic of China, by News Rx journalists, research stated, “Peanut oil is a widely loved edible vegetable oil in the world. The raw material of peanut oil may be contaminated by heavy me tals in the process of planting, processing, and transportation.”

Key words

Zhenjiang/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Optimization Algorithms/Jiangsu University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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