Robotics & Machine Learning Daily News2024,Issue(Nov.11) :49-49.

Researchers from Yantai University Report Details of New Studiesand Findings in the Area of Machine Learning (Operation Prediction of Open Sun Drying Based On Mathematical-physical Model, Drying Kinetics and Machine Learning)

烟台大学研究人员报告新研究细节机器学习领域的研究成果(基于数学物理模型、干燥动力学和机器学习的露天干燥操作预测)

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :49-49.

Researchers from Yantai University Report Details of New Studiesand Findings in the Area of Machine Learning (Operation Prediction of Open Sun Drying Based On Mathematical-physical Model, Drying Kinetics and Machine Learning)

烟台大学研究人员报告新研究细节机器学习领域的研究成果(基于数学物理模型、干燥动力学和机器学习的露天干燥操作预测)

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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新闻-调查人员讨论机器学习的新发现。根据新闻报道中华人民共和国山东,NewsRx编辑,研究称,"为了确定干燥物料的含水率是否满足贮存要求,关键是要找到一个准确的含水率日光干燥过程的预测及简便方法。因此,数学物理本研究采用了模型、干燥动力学模型和机械清理方法,并进行了比较研究。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Machine Lea rning. According to news reporting out ofShandong, People’s Republic of China, by NewsRx editors, research stated, “In order to determine themoisture ratio of dried material whether the storage requirements are met, it was crucial to find an accurateprediction and convenient method in the open sun drying process. Th erefore, the mathematical-physicalmodel, drying dynamics model and machine lear ning methods were employed and compared in this study.”

Key words

Shandong/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Mathematics/Yantai University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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