Robotics & Machine Learning Daily News2024,Issue(Dec.6) :38-38.

Kwame Nkrumah University of Science and Technology Researchers Detail Findings i n Machine Learning (A machine learning-driven modeling and optimization approach for enhancing cassava mash production quality in cassava graters)

Kwame Nkrumah科技大学的研究人员详细介绍了机器学习(一种机器学习驱动的建模和优化方法,用于提高木薯淀粉在木薯烤炉中的生产质量)的研究结果

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :38-38.

Kwame Nkrumah University of Science and Technology Researchers Detail Findings i n Machine Learning (A machine learning-driven modeling and optimization approach for enhancing cassava mash production quality in cassava graters)

Kwame Nkrumah科技大学的研究人员详细介绍了机器学习(一种机器学习驱动的建模和优化方法,用于提高木薯淀粉在木薯烤炉中的生产质量)的研究结果

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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每日新闻-调查人员讨论人工智能的新发现。根据消息来源来自加纳库马西的Ne wsRx编辑,这项研究指出,“机器性能建模和优化已成为提高过程效率和效率的关键步骤。这个学生探索基于机器学习的木薯粉碎机木薯粉碎室建模与优化Gari的生产"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news originatingfrom Kumasi, Ghana, by Ne wsRx editors, the research stated, “Machine performance modeling andoptimizatio n have emerged as crucial steps for process enhancement and efficiency. This stu dy exploredmachine learning to model and optimize the cassava grating chamber o f cassava grater for the qualityproduction of gari.”

Key words

Kwame Nkrumah University of Science and Technology/Kumasi/Ghana/Africa/Cyborgs/Emerging Technologies/Machine Learn ing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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